TY  - CONF
AU  - Mladenović, Ivana
AU  - Obradov, Marko
AU  - Rašljić-Rafajilović, Milena
AU  - Jakšić, Zoran
AU  - Jakšić, Olga
AU  - Vasiljević Radović, Dana
AU  - Lamovec, Jelena
PY  - 2023
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/7520
AB  - Plasmonic  biochemical  sensors,  as  a  subgroup  of  optical  refractometric  sensors,  are  a  topic  of  rapid  research  and  development  due  to  their  ability  to  detect  trace  amounts  of  biochemical agents, even allowing detection of a single molecule. As such, plasmonic sensors find wide  applications  in  forensic  engineering,  medicine  and  clinical  diagnostics,  food  processing,  environmental protection, and many more. Additionally, the use of plasmonic metametrials is not limited to sensing, and they can be used in various fields paramount to forensic sciences, such  as  enhanced  microscopy  and  spectroscopy,  photodetector  enhancement  (entire  optical  range – UV, VIS, and IR light), signal processing, etc.
PB  - Belgrade : University of Criminal Investigation and Police Studies
C3  - XIII international scientific conference “Archibald Reiss days”, Book of abstracts,  8-9 November 2023, Belgrade, Serbia
T1  - Analysis and interpretation of bimetallic plasmonic metamaterial properties for forensic applications
SP  - 79
EP  - 80
UR  - https://hdl.handle.net/21.15107/rcub_cer_7520
ER  - 

@conference{
author = "Mladenović, Ivana and Obradov, Marko and Rašljić-Rafajilović, Milena and Jakšić, Zoran and Jakšić, Olga and Vasiljević Radović, Dana and Lamovec, Jelena",
year = "2023",
abstract = "Plasmonic  biochemical  sensors,  as  a  subgroup  of  optical  refractometric  sensors,  are  a  topic  of  rapid  research  and  development  due  to  their  ability  to  detect  trace  amounts  of  biochemical agents, even allowing detection of a single molecule. As such, plasmonic sensors find wide  applications  in  forensic  engineering,  medicine  and  clinical  diagnostics,  food  processing,  environmental protection, and many more. Additionally, the use of plasmonic metametrials is not limited to sensing, and they can be used in various fields paramount to forensic sciences, such  as  enhanced  microscopy  and  spectroscopy,  photodetector  enhancement  (entire  optical  range – UV, VIS, and IR light), signal processing, etc.",
publisher = "Belgrade : University of Criminal Investigation and Police Studies",
journal = "XIII international scientific conference “Archibald Reiss days”, Book of abstracts,  8-9 November 2023, Belgrade, Serbia",
title = "Analysis and interpretation of bimetallic plasmonic metamaterial properties for forensic applications",
pages = "79-80",
url = "https://hdl.handle.net/21.15107/rcub_cer_7520"
}

Mladenović, I., Obradov, M., Rašljić-Rafajilović, M., Jakšić, Z., Jakšić, O., Vasiljević Radović, D.,& Lamovec, J.. (2023). Analysis and interpretation of bimetallic plasmonic metamaterial properties for forensic applications. in XIII international scientific conference “Archibald Reiss days”, Book of abstracts,  8-9 November 2023, Belgrade, Serbia
Belgrade : University of Criminal Investigation and Police Studies., 79-80.
https://hdl.handle.net/21.15107/rcub_cer_7520

Mladenović I, Obradov M, Rašljić-Rafajilović M, Jakšić Z, Jakšić O, Vasiljević Radović D, Lamovec J. Analysis and interpretation of bimetallic plasmonic metamaterial properties for forensic applications. in XIII international scientific conference “Archibald Reiss days”, Book of abstracts,  8-9 November 2023, Belgrade, Serbia. 2023;:79-80.
https://hdl.handle.net/21.15107/rcub_cer_7520 .

Mladenović, Ivana, Obradov, Marko, Rašljić-Rafajilović, Milena, Jakšić, Zoran, Jakšić, Olga, Vasiljević Radović, Dana, Lamovec, Jelena, "Analysis and interpretation of bimetallic plasmonic metamaterial properties for forensic applications" in XIII international scientific conference “Archibald Reiss days”, Book of abstracts,  8-9 November 2023, Belgrade, Serbia (2023):79-80,
https://hdl.handle.net/21.15107/rcub_cer_7520 .

TY  - CHAP
AU  - Pergal, Marija
AU  - Jakšić, Olga
AU  - Rašljić Rafajilović, Milena
AU  - Vasiljević-Radović, Dana
PY  - 2023
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/6870
AB  - Polymer-based microelectromechanical systems (MEMS) and devices
are a rapidly expanding field with a wide range of applications, from
microfluidics including lab-on-a-chip systems, to new sensors and
actuators, to flexible and stretchable devices. The use of microfluidic
devices and, more broadly, MEMS structures based on polymer
materials, has increased tremendously due to their great potential in
biomedical, point-of-care, and general healthcare applications.
Currently, polymer materials (elastomers, thermoplastics, and
thermosetting polymers) are commonly used in the fabrication of
microfluidic devices and MEMS structures for their low cost, versatile
fabrication methods, biocompatibility, repeatability, and a wide range of
(customizable) material characteristics with improved functionality.
Polymers have become one of the favored functional materials for microfluidic devices, as they possess excellent mechanical and optical
properties. Furthermore, a variety of polymeric materials with unique
physical and chemical characteristics are also available. Compared to
silicon and glass, polymers are inexpensive, feature a wide variety of
material properties for meeting various application requirements of
disposable biomedical microfluidic devices and MEMS structures, and
have a wide variety of practical applications. In this chapter, different
types of polymer materials used in microfluidics and MEMS devices, the
properties of polymer materials, and the methods for fabricating
polymer-based microfluidic systems and MEMS structures are
described. This chapter highlights the most recent developments, future
trends, and challenges in the devices’ preparation methods, and
applications of polymer-based microfluidic and MEMS devices
generally. Special care has been dedicated to biosensing and applications
where polymer-based microfluidic and MEMS devices allow for new
functionalities: applications based on the use of flexible and stretchable
electronic devices, applications employing novel functional materials
(such as biomimetic scaffold tissues), and advanced sensing mechanisms
(as in plasmonic biosensing). Moreover, this chapter focuses on the
synthesis of polymeric and inorganic nanoparticles in microreactors. The
advantages and limitations of using polymer materials in MEMS
technology are also discussed.
PB  - Nova Science
T2  - Advances in Materials Science Research
T1  - Polymer-Based Microelectromechanical Systems (MEMS) and Microfluidic Devices: Engineering and Applications
VL  - 63
SP  - 1
EP  - 117
UR  - https://hdl.handle.net/21.15107/rcub_cer_6870
ER  - 

@inbook{
author = "Pergal, Marija and Jakšić, Olga and Rašljić Rafajilović, Milena and Vasiljević-Radović, Dana",
year = "2023",
abstract = "Polymer-based microelectromechanical systems (MEMS) and devices
are a rapidly expanding field with a wide range of applications, from
microfluidics including lab-on-a-chip systems, to new sensors and
actuators, to flexible and stretchable devices. The use of microfluidic
devices and, more broadly, MEMS structures based on polymer
materials, has increased tremendously due to their great potential in
biomedical, point-of-care, and general healthcare applications.
Currently, polymer materials (elastomers, thermoplastics, and
thermosetting polymers) are commonly used in the fabrication of
microfluidic devices and MEMS structures for their low cost, versatile
fabrication methods, biocompatibility, repeatability, and a wide range of
(customizable) material characteristics with improved functionality.
Polymers have become one of the favored functional materials for microfluidic devices, as they possess excellent mechanical and optical
properties. Furthermore, a variety of polymeric materials with unique
physical and chemical characteristics are also available. Compared to
silicon and glass, polymers are inexpensive, feature a wide variety of
material properties for meeting various application requirements of
disposable biomedical microfluidic devices and MEMS structures, and
have a wide variety of practical applications. In this chapter, different
types of polymer materials used in microfluidics and MEMS devices, the
properties of polymer materials, and the methods for fabricating
polymer-based microfluidic systems and MEMS structures are
described. This chapter highlights the most recent developments, future
trends, and challenges in the devices’ preparation methods, and
applications of polymer-based microfluidic and MEMS devices
generally. Special care has been dedicated to biosensing and applications
where polymer-based microfluidic and MEMS devices allow for new
functionalities: applications based on the use of flexible and stretchable
electronic devices, applications employing novel functional materials
(such as biomimetic scaffold tissues), and advanced sensing mechanisms
(as in plasmonic biosensing). Moreover, this chapter focuses on the
synthesis of polymeric and inorganic nanoparticles in microreactors. The
advantages and limitations of using polymer materials in MEMS
technology are also discussed.",
publisher = "Nova Science",
journal = "Advances in Materials Science Research",
booktitle = "Polymer-Based Microelectromechanical Systems (MEMS) and Microfluidic Devices: Engineering and Applications",
volume = "63",
pages = "1-117",
url = "https://hdl.handle.net/21.15107/rcub_cer_6870"
}

Pergal, M., Jakšić, O., Rašljić Rafajilović, M.,& Vasiljević-Radović, D.. (2023). Polymer-Based Microelectromechanical Systems (MEMS) and Microfluidic Devices: Engineering and Applications. in Advances in Materials Science Research
Nova Science., 63, 1-117.
https://hdl.handle.net/21.15107/rcub_cer_6870

Pergal M, Jakšić O, Rašljić Rafajilović M, Vasiljević-Radović D. Polymer-Based Microelectromechanical Systems (MEMS) and Microfluidic Devices: Engineering and Applications. in Advances in Materials Science Research. 2023;63:1-117.
https://hdl.handle.net/21.15107/rcub_cer_6870 .

Pergal, Marija, Jakšić, Olga, Rašljić Rafajilović, Milena, Vasiljević-Radović, Dana, "Polymer-Based Microelectromechanical Systems (MEMS) and Microfluidic Devices: Engineering and Applications" in Advances in Materials Science Research, 63 (2023):1-117,
https://hdl.handle.net/21.15107/rcub_cer_6870 .

TY  - JOUR
AU  - Jakšić, Zoran
AU  - Devi, Swagata
AU  - Jakšić, Olga
AU  - Guha, Koushik
PY  - 2023
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/7202
AB  - The application of artificial intelligence in everyday life is becoming all-pervasive and unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired algorithms for multiparameter optimization, which find their use in a large number of areas. Novel methods and advances are being published at an accelerated pace. Because of that, in spite of the fact that there are a lot of surveys and reviews in the field, they quickly become dated. Thus, it is of importance to keep pace with the current developments. In this review, we first consider a possible classification of bio-inspired multiparameter optimization methods because papers dedicated to that area are relatively scarce and often contradictory. We proceed by describing in some detail some more prominent approaches, as well as those most recently published. Finally, we consider the use of biomimetic algorithms in two related wide fields, namely microelectronics (including circuit design optimization) and nanophotonics (including inverse design of structures such as photonic crystals, nanoplasmonic configurations and metamaterials). We attempted to keep this broad survey self-contained so it can be of use not only to scholars in the related fields, but also to all those interested in the latest developments in this attractive area.
PB  - MDPI
T2  - Biomimetics
T1  - A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics
VL  - 8
IS  - 3
SP  - 278
DO  - 10.3390/biomimetics8030278
ER  - 

@article{
author = "Jakšić, Zoran and Devi, Swagata and Jakšić, Olga and Guha, Koushik",
year = "2023",
abstract = "The application of artificial intelligence in everyday life is becoming all-pervasive and unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired algorithms for multiparameter optimization, which find their use in a large number of areas. Novel methods and advances are being published at an accelerated pace. Because of that, in spite of the fact that there are a lot of surveys and reviews in the field, they quickly become dated. Thus, it is of importance to keep pace with the current developments. In this review, we first consider a possible classification of bio-inspired multiparameter optimization methods because papers dedicated to that area are relatively scarce and often contradictory. We proceed by describing in some detail some more prominent approaches, as well as those most recently published. Finally, we consider the use of biomimetic algorithms in two related wide fields, namely microelectronics (including circuit design optimization) and nanophotonics (including inverse design of structures such as photonic crystals, nanoplasmonic configurations and metamaterials). We attempted to keep this broad survey self-contained so it can be of use not only to scholars in the related fields, but also to all those interested in the latest developments in this attractive area.",
publisher = "MDPI",
journal = "Biomimetics",
title = "A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics",
volume = "8",
number = "3",
pages = "278",
doi = "10.3390/biomimetics8030278"
}

Jakšić, Z., Devi, S., Jakšić, O.,& Guha, K.. (2023). A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics. in Biomimetics
MDPI., 8(3), 278.
https://doi.org/10.3390/biomimetics8030278

Jakšić Z, Devi S, Jakšić O, Guha K. A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics. in Biomimetics. 2023;8(3):278.
doi:10.3390/biomimetics8030278 .

Jakšić, Zoran, Devi, Swagata, Jakšić, Olga, Guha, Koushik, "A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics" in Biomimetics, 8, no. 3 (2023):278,
https://doi.org/10.3390/biomimetics8030278 . .

TY  - JOUR
AU  - Choudhury, Sagarika
AU  - Baishnab, Krishna Lal
AU  - Guha, Koushik
AU  - Jakšić, Zoran
AU  - Jakšić, Olga
AU  - Iannacci, Jacopo
PY  - 2023
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/7205
AB  - This study discusses the use of a triple material gate (TMG) junctionless tunnel field-effect transistor (JLTFET) as a biosensor to identify different protein molecules. Among the plethora of existing types of biosensors, FET/TFET-based devices are fully compatible with conventional integrated circuits. JLTFETs are preferred over TFETs and JLFETs because of their ease of fabrication and superior biosensing performance. Biomolecules are trapped by cavities etched across the gates. An analytical mathematical model of a TMG asymmetrical hetero-dielectric JLTFET biosensor is derived here for the first time. The TCAD simulator is used to examine the performance of a dielectrically modulated label-free biosensor. The voltage and current sensitivity of the device and the effects of the cavity size, bioanalyte electric charge, fill factor, and location on the performance of the biosensor are also investigated. The relative current sensitivity of the biosensor is found to be about 1013. Besides showing an enhanced sensitivity compared with other FET- and TFET-based biosensors, the device proves itself convenient for low-power applications, thus opening up numerous directions for future research and applications.
PB  - MDPI
T2  - Chemosensors
T1  - Modeling and Simulation of a TFET-Based Label-Free Biosensor with Enhanced Sensitivity
VL  - 11
IS  - 5
SP  - 312
DO  - 10.3390/chemosensors11050312
ER  - 

@article{
author = "Choudhury, Sagarika and Baishnab, Krishna Lal and Guha, Koushik and Jakšić, Zoran and Jakšić, Olga and Iannacci, Jacopo",
year = "2023",
abstract = "This study discusses the use of a triple material gate (TMG) junctionless tunnel field-effect transistor (JLTFET) as a biosensor to identify different protein molecules. Among the plethora of existing types of biosensors, FET/TFET-based devices are fully compatible with conventional integrated circuits. JLTFETs are preferred over TFETs and JLFETs because of their ease of fabrication and superior biosensing performance. Biomolecules are trapped by cavities etched across the gates. An analytical mathematical model of a TMG asymmetrical hetero-dielectric JLTFET biosensor is derived here for the first time. The TCAD simulator is used to examine the performance of a dielectrically modulated label-free biosensor. The voltage and current sensitivity of the device and the effects of the cavity size, bioanalyte electric charge, fill factor, and location on the performance of the biosensor are also investigated. The relative current sensitivity of the biosensor is found to be about 1013. Besides showing an enhanced sensitivity compared with other FET- and TFET-based biosensors, the device proves itself convenient for low-power applications, thus opening up numerous directions for future research and applications.",
publisher = "MDPI",
journal = "Chemosensors",
title = "Modeling and Simulation of a TFET-Based Label-Free Biosensor with Enhanced Sensitivity",
volume = "11",
number = "5",
pages = "312",
doi = "10.3390/chemosensors11050312"
}

Choudhury, S., Baishnab, K. L., Guha, K., Jakšić, Z., Jakšić, O.,& Iannacci, J.. (2023). Modeling and Simulation of a TFET-Based Label-Free Biosensor with Enhanced Sensitivity. in Chemosensors
MDPI., 11(5), 312.
https://doi.org/10.3390/chemosensors11050312

Choudhury S, Baishnab KL, Guha K, Jakšić Z, Jakšić O, Iannacci J. Modeling and Simulation of a TFET-Based Label-Free Biosensor with Enhanced Sensitivity. in Chemosensors. 2023;11(5):312.
doi:10.3390/chemosensors11050312 .

Choudhury, Sagarika, Baishnab, Krishna Lal, Guha, Koushik, Jakšić, Zoran, Jakšić, Olga, Iannacci, Jacopo, "Modeling and Simulation of a TFET-Based Label-Free Biosensor with Enhanced Sensitivity" in Chemosensors, 11, no. 5 (2023):312,
https://doi.org/10.3390/chemosensors11050312 . .

TY  - JOUR
AU  - Obradov, Marko
AU  - Jakšić, Zoran
AU  - Mladenović, Ivana
AU  - Bartula, Anja
AU  - Jakšić, Olga
PY  - 2023
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5689
AB  - New materials are of essential importance for the advancement of nanophotonics and nanoplasmonics. Numerous electromagnetic modes, especially various evanescent surface waves, prove themselves useful in multitudinous practical applications. Here we investigate the use of MXenes as alternative plasmonic materials in freestanding (substrateless) planar nanocomposites that support the existence of Tamm plasmon polaritons (TPP). We use finite element simulations to consider the influence of using MXenes on the propagation and distribution of TPP and the difference in their electromagnetic behavior compared to that of commonly used noble metals. While MXenes allow for somewhat weaker coupling between incident light and TPP, even the thinnest MXene layers practically completely screen the structure behind them. Our diffraction grating-enhanced stacks achieved incident light direction-dependent improvement of the coupling strength and polarization-dependent hybridization of electromagnetic states. MXene ensures improvements in functionality, especially spectral, directional, and polarization selectivity, by imparting rich modal behavior. Importantly, we observed high optical asymmetry of reflectance when illuminating the structures from opposite directions and obtained large high-to-low reflection ratios with a very small number of dielectric layers in the capping 1D photonic crystal. We conclude that MXenes represent a viable alternative for TPP-supporting structures, offering many advantages.
PB  - Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)
T2  - Coatings
T1  - MXenes as Alternative Plasmonic Coatings on 1D Photonic Crystals Platforms for Tamm Plasmon Polaritons
VL  - 13
IS  - 1
SP  - 198
DO  - 10.3390/coatings13010198
ER  - 

@article{
author = "Obradov, Marko and Jakšić, Zoran and Mladenović, Ivana and Bartula, Anja and Jakšić, Olga",
year = "2023",
abstract = "New materials are of essential importance for the advancement of nanophotonics and nanoplasmonics. Numerous electromagnetic modes, especially various evanescent surface waves, prove themselves useful in multitudinous practical applications. Here we investigate the use of MXenes as alternative plasmonic materials in freestanding (substrateless) planar nanocomposites that support the existence of Tamm plasmon polaritons (TPP). We use finite element simulations to consider the influence of using MXenes on the propagation and distribution of TPP and the difference in their electromagnetic behavior compared to that of commonly used noble metals. While MXenes allow for somewhat weaker coupling between incident light and TPP, even the thinnest MXene layers practically completely screen the structure behind them. Our diffraction grating-enhanced stacks achieved incident light direction-dependent improvement of the coupling strength and polarization-dependent hybridization of electromagnetic states. MXene ensures improvements in functionality, especially spectral, directional, and polarization selectivity, by imparting rich modal behavior. Importantly, we observed high optical asymmetry of reflectance when illuminating the structures from opposite directions and obtained large high-to-low reflection ratios with a very small number of dielectric layers in the capping 1D photonic crystal. We conclude that MXenes represent a viable alternative for TPP-supporting structures, offering many advantages.",
publisher = "Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)",
journal = "Coatings",
title = "MXenes as Alternative Plasmonic Coatings on 1D Photonic Crystals Platforms for Tamm Plasmon Polaritons",
volume = "13",
number = "1",
pages = "198",
doi = "10.3390/coatings13010198"
}

Obradov, M., Jakšić, Z., Mladenović, I., Bartula, A.,& Jakšić, O.. (2023). MXenes as Alternative Plasmonic Coatings on 1D Photonic Crystals Platforms for Tamm Plasmon Polaritons. in Coatings
Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)., 13(1), 198.
https://doi.org/10.3390/coatings13010198

Obradov M, Jakšić Z, Mladenović I, Bartula A, Jakšić O. MXenes as Alternative Plasmonic Coatings on 1D Photonic Crystals Platforms for Tamm Plasmon Polaritons. in Coatings. 2023;13(1):198.
doi:10.3390/coatings13010198 .

Obradov, Marko, Jakšić, Zoran, Mladenović, Ivana, Bartula, Anja, Jakšić, Olga, "MXenes as Alternative Plasmonic Coatings on 1D Photonic Crystals Platforms for Tamm Plasmon Polaritons" in Coatings, 13, no. 1 (2023):198,
https://doi.org/10.3390/coatings13010198 . .

TY  - JOUR
AU  - Devi, Swagata
AU  - Guha, Koushik
AU  - Jakšić, Olga
AU  - Baishnab, Krishna Lal
AU  - Jakšić, Zoran
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5373
AB  - This work is dedicated to parameter optimization for a self-biased amplifier to be used in preamplifiers for the diagnosis of seizures in neuro-diseases such as epilepsy. For the sake of maximum compactness, which is obligatory for all implantable devices, power is to be supplied by a piezoelectric nanogenerator (PENG). Several meta-heuristic optimization algorithms and an ANN (artificial neural network)-assisted goal attainment method were applied to the circuit, aiming to provide us with the set of optimal design parameters which ensure the minimal overall area of the preamplifier. These parameters are the slew rate, load capacitor, gain–bandwidth product, maximal input voltage, minimal input voltage, input voltage, reference voltage, and dissipation power. The results are re-evaluated and compared in the Cadence 180 nm SCL environment. It has been observed that, among the metaheuristic algorithms, the whale optimization technique reached the best values at low computational cost, decreased complexity, and the highest convergence speed. However, all metaheuristic algorithms were outperformed by the ANN-assisted goal attainment method, which produced a roughly 50% smaller overall area of the preamplifier. All the techniques described here are applicable to the design and optimization of wearable or implantable circuits.
PB  - Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)
T2  - Micromachines
T1  - Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method
VL  - 13
VL  - 7
SP  - 1104
DO  - 10.3390/mi13071104
ER  - 

@article{
author = "Devi, Swagata and Guha, Koushik and Jakšić, Olga and Baishnab, Krishna Lal and Jakšić, Zoran",
year = "2022",
abstract = "This work is dedicated to parameter optimization for a self-biased amplifier to be used in preamplifiers for the diagnosis of seizures in neuro-diseases such as epilepsy. For the sake of maximum compactness, which is obligatory for all implantable devices, power is to be supplied by a piezoelectric nanogenerator (PENG). Several meta-heuristic optimization algorithms and an ANN (artificial neural network)-assisted goal attainment method were applied to the circuit, aiming to provide us with the set of optimal design parameters which ensure the minimal overall area of the preamplifier. These parameters are the slew rate, load capacitor, gain–bandwidth product, maximal input voltage, minimal input voltage, input voltage, reference voltage, and dissipation power. The results are re-evaluated and compared in the Cadence 180 nm SCL environment. It has been observed that, among the metaheuristic algorithms, the whale optimization technique reached the best values at low computational cost, decreased complexity, and the highest convergence speed. However, all metaheuristic algorithms were outperformed by the ANN-assisted goal attainment method, which produced a roughly 50% smaller overall area of the preamplifier. All the techniques described here are applicable to the design and optimization of wearable or implantable circuits.",
publisher = "Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)",
journal = "Micromachines",
title = "Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method",
volume = "13, 7",
pages = "1104",
doi = "10.3390/mi13071104"
}

Devi, S., Guha, K., Jakšić, O., Baishnab, K. L.,& Jakšić, Z.. (2022). Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method. in Micromachines
Switzerland : Multidisciplinary Digital Publishing Institute (MDPI)., 13, 1104.
https://doi.org/10.3390/mi13071104

Devi S, Guha K, Jakšić O, Baishnab KL, Jakšić Z. Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method. in Micromachines. 2022;13:1104.
doi:10.3390/mi13071104 .

Devi, Swagata, Guha, Koushik, Jakšić, Olga, Baishnab, Krishna Lal, Jakšić, Zoran, "Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal Attainment Method" in Micromachines, 13 (2022):1104,
https://doi.org/10.3390/mi13071104 . .

TY  - JOUR
AU  - Jakšić, Zoran
AU  - Obradov, Marko
AU  - Jakšić, Olga
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5560
AB  - Nanomembranes are the most widespread building block of life, as they encompass cell and organelle walls. Their synthetic counterparts can be described as freestanding or free-floating structures thinner than 100 nm, down to monatomic/monomolecular thickness and with giant lateral aspect ratios. The structural confinement to quasi-2D sheets causes a multitude of unexpected and often counterintuitive properties. This has resulted in synthetic nanomembranes transiting from a mere scientific curiosity to a position where novel applications are emerging at an ever-accelerating pace. Among wide fields where their use has proven itself most fruitful are nano-optics and nanophotonics. However, the authors are unaware of a review covering the nanomembrane use in these important fields. Here, we present an attempt to survey the state of the art of nanomembranes in nanophotonics, including photonic crystals, plasmonics, metasurfaces, and nanoantennas, with an accent on some advancements that appeared within the last few years. Unlimited by the Nature toolbox, we can utilize a practically infinite number of available materials and methods and reach numerous properties not met in biological membranes. Thus, nanomembranes in nano-optics can be described as real metastructures, exceeding the known materials and opening pathways to a wide variety of novel functionalities.
PB  - MDPI AG
T2  - Biomimetics
T1  - Bio-Inspired Nanomembranes as Building Blocks for Nanophotonics, Plasmonics and Metamaterials
VL  - 7
IS  - 4
SP  - 222
DO  - 10.3390/biomimetics7040222
ER  - 

@article{
author = "Jakšić, Zoran and Obradov, Marko and Jakšić, Olga",
year = "2022",
abstract = "Nanomembranes are the most widespread building block of life, as they encompass cell and organelle walls. Their synthetic counterparts can be described as freestanding or free-floating structures thinner than 100 nm, down to monatomic/monomolecular thickness and with giant lateral aspect ratios. The structural confinement to quasi-2D sheets causes a multitude of unexpected and often counterintuitive properties. This has resulted in synthetic nanomembranes transiting from a mere scientific curiosity to a position where novel applications are emerging at an ever-accelerating pace. Among wide fields where their use has proven itself most fruitful are nano-optics and nanophotonics. However, the authors are unaware of a review covering the nanomembrane use in these important fields. Here, we present an attempt to survey the state of the art of nanomembranes in nanophotonics, including photonic crystals, plasmonics, metasurfaces, and nanoantennas, with an accent on some advancements that appeared within the last few years. Unlimited by the Nature toolbox, we can utilize a practically infinite number of available materials and methods and reach numerous properties not met in biological membranes. Thus, nanomembranes in nano-optics can be described as real metastructures, exceeding the known materials and opening pathways to a wide variety of novel functionalities.",
publisher = "MDPI AG",
journal = "Biomimetics",
title = "Bio-Inspired Nanomembranes as Building Blocks for Nanophotonics, Plasmonics and Metamaterials",
volume = "7",
number = "4",
pages = "222",
doi = "10.3390/biomimetics7040222"
}

Jakšić, Z., Obradov, M.,& Jakšić, O.. (2022). Bio-Inspired Nanomembranes as Building Blocks for Nanophotonics, Plasmonics and Metamaterials. in Biomimetics
MDPI AG., 7(4), 222.
https://doi.org/10.3390/biomimetics7040222

Jakšić Z, Obradov M, Jakšić O. Bio-Inspired Nanomembranes as Building Blocks for Nanophotonics, Plasmonics and Metamaterials. in Biomimetics. 2022;7(4):222.
doi:10.3390/biomimetics7040222 .

Jakšić, Zoran, Obradov, Marko, Jakšić, Olga, "Bio-Inspired Nanomembranes as Building Blocks for Nanophotonics, Plasmonics and Metamaterials" in Biomimetics, 7, no. 4 (2022):222,
https://doi.org/10.3390/biomimetics7040222 . .

TY  - JOUR
AU  - Jakšić, Zoran
AU  - Obradov, Marko
AU  - Jakšić, Olga
AU  - Tanasković, Dragan
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5603
AB  - We proposed and investigated a family of multifunctional plasmonic biomimetic structures inspired by natural brochosome powders secreted by leafhoppers (insects from Cicadellidae family): spheres with diameters (600–1000) nm, with dielectric or hollow cores and golden shells perforated by subwavelength holes (30–100) nm in radius. We simulated ab initio their optical properties using the finite element method. We found that even in the simplest case (core-shells with only 6 nanoholes) our approach ensured the design of highly efficient omnidirectional ultra-antireflective diffractive powders. The reflectivity of 600 nm diameter perforated spheres did not exceed 2% in (500–600) nm range. We also discovered that planar arrays of our particles exhibited effective optical metamaterial behavior, including ultralow and negative refractive index at near-infrared wavelengths above 1000 nm. This rich optical behavior enhances the multifunctionality of our particles which can serve as antireflective, superhydrophobic and highly porous structures controllable by design. Potential practical impact includes their use in chemical sensing and biosensing, photodetection (antireflection,) photoelectrochemistry, photocatalysis, medical thermoplasmonics, general microoptoelectromechanical systems (MOEMS), etc. Our approach extends the range of possible designs, geometries and materials of brochosome-inspired microparticles. Thus we arrived at a new toolbox for the design of simple, highly customizable and versatile porous plasmonic particles.
PB  - Springer
T2  - Optical and Quantum Electronics
T1  - A family of perforated submicrometer core–shell plasmonic particles bio-inspired by leafhopper brochosomes
VL  - 54
IS  - 8
SP  - 524
DO  - 10.1007/s11082-022-03767-9
ER  - 

@article{
author = "Jakšić, Zoran and Obradov, Marko and Jakšić, Olga and Tanasković, Dragan",
year = "2022",
abstract = "We proposed and investigated a family of multifunctional plasmonic biomimetic structures inspired by natural brochosome powders secreted by leafhoppers (insects from Cicadellidae family): spheres with diameters (600–1000) nm, with dielectric or hollow cores and golden shells perforated by subwavelength holes (30–100) nm in radius. We simulated ab initio their optical properties using the finite element method. We found that even in the simplest case (core-shells with only 6 nanoholes) our approach ensured the design of highly efficient omnidirectional ultra-antireflective diffractive powders. The reflectivity of 600 nm diameter perforated spheres did not exceed 2% in (500–600) nm range. We also discovered that planar arrays of our particles exhibited effective optical metamaterial behavior, including ultralow and negative refractive index at near-infrared wavelengths above 1000 nm. This rich optical behavior enhances the multifunctionality of our particles which can serve as antireflective, superhydrophobic and highly porous structures controllable by design. Potential practical impact includes their use in chemical sensing and biosensing, photodetection (antireflection,) photoelectrochemistry, photocatalysis, medical thermoplasmonics, general microoptoelectromechanical systems (MOEMS), etc. Our approach extends the range of possible designs, geometries and materials of brochosome-inspired microparticles. Thus we arrived at a new toolbox for the design of simple, highly customizable and versatile porous plasmonic particles.",
publisher = "Springer",
journal = "Optical and Quantum Electronics",
title = "A family of perforated submicrometer core–shell plasmonic particles bio-inspired by leafhopper brochosomes",
volume = "54",
number = "8",
pages = "524",
doi = "10.1007/s11082-022-03767-9"
}

Jakšić, Z., Obradov, M., Jakšić, O.,& Tanasković, D.. (2022). A family of perforated submicrometer core–shell plasmonic particles bio-inspired by leafhopper brochosomes. in Optical and Quantum Electronics
Springer., 54(8), 524.
https://doi.org/10.1007/s11082-022-03767-9

Jakšić Z, Obradov M, Jakšić O, Tanasković D. A family of perforated submicrometer core–shell plasmonic particles bio-inspired by leafhopper brochosomes. in Optical and Quantum Electronics. 2022;54(8):524.
doi:10.1007/s11082-022-03767-9 .

Jakšić, Zoran, Obradov, Marko, Jakšić, Olga, Tanasković, Dragan, "A family of perforated submicrometer core–shell plasmonic particles bio-inspired by leafhopper brochosomes" in Optical and Quantum Electronics, 54, no. 8 (2022):524,
https://doi.org/10.1007/s11082-022-03767-9 . .

TY  - JOUR
AU  - Pertin, Osor
AU  - Guha, Koushik
AU  - Jakšić, Olga
AU  - Jakšić, Zoran
AU  - Iannacci, Jacopo
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5604
AB  - This paper proposes a monostable nonlinear Piezoelectric Energy Harvester (PEH). The harvester is based on an unconventional exsect-tapered fixed-guided spring design, which introduces nonlinearity into the system due to the bending and stretching of the spring. The physical–mathematical model and finite element simulations were performed to analyze the effects of the stretching-induced nonlinearity on the performance of the energy harvester. The proposed exsect-tapered nonlinear PEH shows a bandwidth and power enhancement of 15.38 and 44.4%, respectively, compared to conventional rectangular nonlinear PEHs. It shows a bandwidth and power enhancement of 11.11 and 26.83%, respectively, compared to a simple, linearly tapered and nonlinear PEH. The exsect-tapered nonlinear PEH improves the power output and operational bandwidth for harvesting low-frequency ambient vibrations.
PB  - MDPI AG
T2  - Micromachines
T1  - Investigation of Nonlinear Piezoelectric Energy Harvester for Low-Frequency and Wideband Applications
VL  - 13
IS  - 9
SP  - 1399
DO  - 10.3390/mi13091399
ER  - 

@article{
author = "Pertin, Osor and Guha, Koushik and Jakšić, Olga and Jakšić, Zoran and Iannacci, Jacopo",
year = "2022",
abstract = "This paper proposes a monostable nonlinear Piezoelectric Energy Harvester (PEH). The harvester is based on an unconventional exsect-tapered fixed-guided spring design, which introduces nonlinearity into the system due to the bending and stretching of the spring. The physical–mathematical model and finite element simulations were performed to analyze the effects of the stretching-induced nonlinearity on the performance of the energy harvester. The proposed exsect-tapered nonlinear PEH shows a bandwidth and power enhancement of 15.38 and 44.4%, respectively, compared to conventional rectangular nonlinear PEHs. It shows a bandwidth and power enhancement of 11.11 and 26.83%, respectively, compared to a simple, linearly tapered and nonlinear PEH. The exsect-tapered nonlinear PEH improves the power output and operational bandwidth for harvesting low-frequency ambient vibrations.",
publisher = "MDPI AG",
journal = "Micromachines",
title = "Investigation of Nonlinear Piezoelectric Energy Harvester for Low-Frequency and Wideband Applications",
volume = "13",
number = "9",
pages = "1399",
doi = "10.3390/mi13091399"
}

Pertin, O., Guha, K., Jakšić, O., Jakšić, Z.,& Iannacci, J.. (2022). Investigation of Nonlinear Piezoelectric Energy Harvester for Low-Frequency and Wideband Applications. in Micromachines
MDPI AG., 13(9), 1399.
https://doi.org/10.3390/mi13091399

Pertin O, Guha K, Jakšić O, Jakšić Z, Iannacci J. Investigation of Nonlinear Piezoelectric Energy Harvester for Low-Frequency and Wideband Applications. in Micromachines. 2022;13(9):1399.
doi:10.3390/mi13091399 .

Pertin, Osor, Guha, Koushik, Jakšić, Olga, Jakšić, Zoran, Iannacci, Jacopo, "Investigation of Nonlinear Piezoelectric Energy Harvester for Low-Frequency and Wideband Applications" in Micromachines, 13, no. 9 (2022):1399,
https://doi.org/10.3390/mi13091399 . .

TY  - JOUR
AU  - Jakšić, Olga
AU  - Jakšić, Zoran
AU  - Guha, Koushik
AU  - Silva, Ana G.
AU  - Laskar, Naushad Manzoor
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5605
AB  - A new set of software tools for the prediction of the higher heating values (HHV) of arbitrarily chosen biomass species is presented. A comparative qualitative and quantitative analysis of 12 algorithms for training artificial neural networks (ANN) which predict the HHV of biomass using the proximate analysis is given. Fixed carbon, volatile matter and ash percentage were utilized as inputs. Each ANN had the same structure but a different training algorithm (BFGS Quasi Newton, Bayesian Regularization, Conjugate Gradient—Powell/Beale Restarts, Fletcher–Powell Conjugate Gradient, Polak–Ribiére Conjugate Gradient, Gradient Descent, Gradient Descent Momentum, Variable Learning Rate Gradient Descent, Levenberg–Marquardt, One Step Secant, Resilient Backpropagation, Scaled Conjugate Gradient). To ensure an extended applicability of our results to a wide range of different biomass species, the data conditioning was based on diverse experimental data gathered from the literature, 447 samples overall. Out of these, 301 datasets were used for the training, validation and testing by MathWorks MATLAB Neural Network Fitting Application and by custom designed codes, and 146 remaining datasets were used for the independent evaluation of all training algorithms. The HHV predictions of the ANN-based fitting functions were thoroughly tested and intercompared, to which purpose we developed a test suite which applies mean squared error, coefficient of the determination, mean Poisson deviance, mean Gamma deviance and Friedman test. The comparative analysis showed that several algorithms resulted in ANN-based fitting functions whose outputs correlated well with measured values of the HHV. All programming codes are freely downloadable.
PB  - Springer Science and Business Media LLC
T2  - Soft Computing
T1  - Comparing artificial neural network algorithms for prediction of higher heating value for different types of biomass
DO  - 10.1007/s00500-022-07641-4
ER  - 

@article{
author = "Jakšić, Olga and Jakšić, Zoran and Guha, Koushik and Silva, Ana G. and Laskar, Naushad Manzoor",
year = "2022",
abstract = "A new set of software tools for the prediction of the higher heating values (HHV) of arbitrarily chosen biomass species is presented. A comparative qualitative and quantitative analysis of 12 algorithms for training artificial neural networks (ANN) which predict the HHV of biomass using the proximate analysis is given. Fixed carbon, volatile matter and ash percentage were utilized as inputs. Each ANN had the same structure but a different training algorithm (BFGS Quasi Newton, Bayesian Regularization, Conjugate Gradient—Powell/Beale Restarts, Fletcher–Powell Conjugate Gradient, Polak–Ribiére Conjugate Gradient, Gradient Descent, Gradient Descent Momentum, Variable Learning Rate Gradient Descent, Levenberg–Marquardt, One Step Secant, Resilient Backpropagation, Scaled Conjugate Gradient). To ensure an extended applicability of our results to a wide range of different biomass species, the data conditioning was based on diverse experimental data gathered from the literature, 447 samples overall. Out of these, 301 datasets were used for the training, validation and testing by MathWorks MATLAB Neural Network Fitting Application and by custom designed codes, and 146 remaining datasets were used for the independent evaluation of all training algorithms. The HHV predictions of the ANN-based fitting functions were thoroughly tested and intercompared, to which purpose we developed a test suite which applies mean squared error, coefficient of the determination, mean Poisson deviance, mean Gamma deviance and Friedman test. The comparative analysis showed that several algorithms resulted in ANN-based fitting functions whose outputs correlated well with measured values of the HHV. All programming codes are freely downloadable.",
publisher = "Springer Science and Business Media LLC",
journal = "Soft Computing",
title = "Comparing artificial neural network algorithms for prediction of higher heating value for different types of biomass",
doi = "10.1007/s00500-022-07641-4"
}

Jakšić, O., Jakšić, Z., Guha, K., Silva, A. G.,& Laskar, N. M.. (2022). Comparing artificial neural network algorithms for prediction of higher heating value for different types of biomass. in Soft Computing
Springer Science and Business Media LLC..
https://doi.org/10.1007/s00500-022-07641-4

Jakšić O, Jakšić Z, Guha K, Silva AG, Laskar NM. Comparing artificial neural network algorithms for prediction of higher heating value for different types of biomass. in Soft Computing. 2022;.
doi:10.1007/s00500-022-07641-4 .

Jakšić, Olga, Jakšić, Zoran, Guha, Koushik, Silva, Ana G., Laskar, Naushad Manzoor, "Comparing artificial neural network algorithms for prediction of higher heating value for different types of biomass" in Soft Computing (2022),
https://doi.org/10.1007/s00500-022-07641-4 . .

TY  - JOUR
AU  - Jakšić, Olga
AU  - Jakšić, Zoran
AU  - Guha, Koushik
AU  - Jokić, Ivana
AU  - Frantlović, Miloš
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4223
AB  - Random sequences and maps are essential for the applications in cryptography and many other fields in Information Technologies. To achieve true randomness, one still needs to refer to natural phenomena, be it physical, chemical or biological. Here we analyse the possibility to apply stochastic physico–chemical dynamics to generate truly random sequences and bitmaps. To this purpose, we utilize simulations of adsorption–desorption (AD) based intrinsic noise in realistic microsystems and nanosystems. We focus on affinity-based chemical or biological sensors, for instance those based on micro or nanocantilevers, as well as those utilizing plasmonic and generally metamaterial phenomena (refractometric nanosensors.) Random numbers in sequences or maps in both types of structures are generated by simulations of intrinsic fluctuations of AD processes. We present three novel AD-simulation based algorithms, two of them for bitstreams and one for dynamic bitmaps. We use the stochastic simulation algorithm developed for modelling of chemical kinetics. We tested the obtained pseudo random numbers by visual analysis and using our custom designed test suite. We have proven the applicability of the proposed method for generation of random sequences and maps. Our results could be used in digital data encryption and communication. They also point out to a possibility to a hardware implementation of a full random number generator that would incorporate the mentioned micro and nanosystems.
PB  - Springer Nature
T2  - Microsystem Technologies
T1  - Equilibrium fluctuations in chemical reactions: a viable source of random data (numbers, maps and sequences)
DO  - 10.1007/s00542-020-05137-5
ER  - 

@article{
author = "Jakšić, Olga and Jakšić, Zoran and Guha, Koushik and Jokić, Ivana and Frantlović, Miloš",
year = "2021",
abstract = "Random sequences and maps are essential for the applications in cryptography and many other fields in Information Technologies. To achieve true randomness, one still needs to refer to natural phenomena, be it physical, chemical or biological. Here we analyse the possibility to apply stochastic physico–chemical dynamics to generate truly random sequences and bitmaps. To this purpose, we utilize simulations of adsorption–desorption (AD) based intrinsic noise in realistic microsystems and nanosystems. We focus on affinity-based chemical or biological sensors, for instance those based on micro or nanocantilevers, as well as those utilizing plasmonic and generally metamaterial phenomena (refractometric nanosensors.) Random numbers in sequences or maps in both types of structures are generated by simulations of intrinsic fluctuations of AD processes. We present three novel AD-simulation based algorithms, two of them for bitstreams and one for dynamic bitmaps. We use the stochastic simulation algorithm developed for modelling of chemical kinetics. We tested the obtained pseudo random numbers by visual analysis and using our custom designed test suite. We have proven the applicability of the proposed method for generation of random sequences and maps. Our results could be used in digital data encryption and communication. They also point out to a possibility to a hardware implementation of a full random number generator that would incorporate the mentioned micro and nanosystems.",
publisher = "Springer Nature",
journal = "Microsystem Technologies",
title = "Equilibrium fluctuations in chemical reactions: a viable source of random data (numbers, maps and sequences)",
doi = "10.1007/s00542-020-05137-5"
}

Jakšić, O., Jakšić, Z., Guha, K., Jokić, I.,& Frantlović, M.. (2021). Equilibrium fluctuations in chemical reactions: a viable source of random data (numbers, maps and sequences). in Microsystem Technologies
Springer Nature..
https://doi.org/10.1007/s00542-020-05137-5

Jakšić O, Jakšić Z, Guha K, Jokić I, Frantlović M. Equilibrium fluctuations in chemical reactions: a viable source of random data (numbers, maps and sequences). in Microsystem Technologies. 2021;.
doi:10.1007/s00542-020-05137-5 .

Jakšić, Olga, Jakšić, Zoran, Guha, Koushik, Jokić, Ivana, Frantlović, Miloš, "Equilibrium fluctuations in chemical reactions: a viable source of random data (numbers, maps and sequences)" in Microsystem Technologies (2021),
https://doi.org/10.1007/s00542-020-05137-5 . .

TY  - JOUR
AU  - Jokić, Ivana
AU  - Jakšić, Olga
AU  - Frantlović, Miloš
AU  - Jakšić, Zoran
AU  - Radulović, Katarina
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4726
AB  - Highly sensitive detection of biological analytes by plasmonic sensors is based on analyte adsorption, which modifies the effective refractive index (RI) at the medium-sensor interface. The main issue with such sensors is the non-ideal sensor selectivity (manifested in multiple analyte adsorption), while sample depletion (significant at low analyte concentrations) also causes a deviation of the sensor response from the expected time dependence. Mathematical modelling of sensor response, presented in this work, simultaneously tackles these two issues that may cause erroneous interpretation of measurement results. Two mathematical models that address the problem of limited selectivity are utilized to analyse the sensor response: the linear (pseudo-first order) model, commonly used for interpretation of measurements, and the nonlinear (second order) model that takes into account analyte depletion in the sensor chamber. While the nonlinear model has a virtue of generality, the advantages of the linear model are its simplicity and a well-established procedure for the analysis of experimental results. However, the linear model can exhibit large errors in the case of significant analyte depletion. Until now, the influence of analyte depletion on the linear model fidelity has not been studied for multianalyte adsorption. In this paper, we quantify the difference between the RI changes predicted by the two models of two-analyte competitive adsorption, and establish the conditions that justify the use of the linear model. The validity of these conditions is confirmed by numerically solving the exact nonlinear model equations. The conditions enable making an objective decision whether it is safe to use the linear model for detection of ultralow analyte concentrations, or the nonlinear model must be used in order to avoid false-positive/false-negative detection results and analyte quantification errors. The results are applicable in adsorption-based chemical/biological sensing in complex samples, as well as for the new generation single-element multianalyte plasmonic sensors.
PB  - IOP Publishing
T2  - Measurement Science and Technology
T1  - Modelling of plasmonic biosensor temporal response influenced by competitive adsorption and analyte depletion
VL  - 32
IS  - 9
DO  - 10.1088/1361-6501/abfe85
ER  - 

@article{
author = "Jokić, Ivana and Jakšić, Olga and Frantlović, Miloš and Jakšić, Zoran and Radulović, Katarina",
year = "2021",
abstract = "Highly sensitive detection of biological analytes by plasmonic sensors is based on analyte adsorption, which modifies the effective refractive index (RI) at the medium-sensor interface. The main issue with such sensors is the non-ideal sensor selectivity (manifested in multiple analyte adsorption), while sample depletion (significant at low analyte concentrations) also causes a deviation of the sensor response from the expected time dependence. Mathematical modelling of sensor response, presented in this work, simultaneously tackles these two issues that may cause erroneous interpretation of measurement results. Two mathematical models that address the problem of limited selectivity are utilized to analyse the sensor response: the linear (pseudo-first order) model, commonly used for interpretation of measurements, and the nonlinear (second order) model that takes into account analyte depletion in the sensor chamber. While the nonlinear model has a virtue of generality, the advantages of the linear model are its simplicity and a well-established procedure for the analysis of experimental results. However, the linear model can exhibit large errors in the case of significant analyte depletion. Until now, the influence of analyte depletion on the linear model fidelity has not been studied for multianalyte adsorption. In this paper, we quantify the difference between the RI changes predicted by the two models of two-analyte competitive adsorption, and establish the conditions that justify the use of the linear model. The validity of these conditions is confirmed by numerically solving the exact nonlinear model equations. The conditions enable making an objective decision whether it is safe to use the linear model for detection of ultralow analyte concentrations, or the nonlinear model must be used in order to avoid false-positive/false-negative detection results and analyte quantification errors. The results are applicable in adsorption-based chemical/biological sensing in complex samples, as well as for the new generation single-element multianalyte plasmonic sensors.",
publisher = "IOP Publishing",
journal = "Measurement Science and Technology",
title = "Modelling of plasmonic biosensor temporal response influenced by competitive adsorption and analyte depletion",
volume = "32",
number = "9",
doi = "10.1088/1361-6501/abfe85"
}

Jokić, I., Jakšić, O., Frantlović, M., Jakšić, Z.,& Radulović, K.. (2021). Modelling of plasmonic biosensor temporal response influenced by competitive adsorption and analyte depletion. in Measurement Science and Technology
IOP Publishing., 32(9).
https://doi.org/10.1088/1361-6501/abfe85

Jokić I, Jakšić O, Frantlović M, Jakšić Z, Radulović K. Modelling of plasmonic biosensor temporal response influenced by competitive adsorption and analyte depletion. in Measurement Science and Technology. 2021;32(9).
doi:10.1088/1361-6501/abfe85 .

Jokić, Ivana, Jakšić, Olga, Frantlović, Miloš, Jakšić, Zoran, Radulović, Katarina, "Modelling of plasmonic biosensor temporal response influenced by competitive adsorption and analyte depletion" in Measurement Science and Technology, 32, no. 9 (2021),
https://doi.org/10.1088/1361-6501/abfe85 . .

TY  - CONF
AU  - Pertin, Osor
AU  - Guha, Koushik
AU  - Jakšić, Olga
AU  - Jakšić, Zoran
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4847
AB  - This paper presents the results of the deploying machine learning models in the design and optimization of a unimorph tapered cantilever with proof mass, aimed for piezoelectric energy harvesting. Multiobjective optimization as described in the paper was performed in order to find the optimal dimensions of the structure, its length, its width at the anchor and the ratio between widths at the anchor and at the tip, with respect to the salient parameters for the energy harvesting applications, namely low frequency and high power generated by the structure. The method is applicable for the optimization of the design of more complex MEMS structures aimed for energy harvesting applications.
PB  - Institute of Electrical and Electronics Engineers Inc.
C3  - 32nd IEEE International Conference on Microelectronics, MIEL 2021
T1  - AI Assisted Optimization of Unimorph Tapered Cantilever for Piezoelectric Energy Harvesting
SP  - 285
EP  - 288
DO  - 10.1109/MIEL52794.2021.9569184
ER  - 

@conference{
author = "Pertin, Osor and Guha, Koushik and Jakšić, Olga and Jakšić, Zoran",
year = "2021",
abstract = "This paper presents the results of the deploying machine learning models in the design and optimization of a unimorph tapered cantilever with proof mass, aimed for piezoelectric energy harvesting. Multiobjective optimization as described in the paper was performed in order to find the optimal dimensions of the structure, its length, its width at the anchor and the ratio between widths at the anchor and at the tip, with respect to the salient parameters for the energy harvesting applications, namely low frequency and high power generated by the structure. The method is applicable for the optimization of the design of more complex MEMS structures aimed for energy harvesting applications.",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
journal = "32nd IEEE International Conference on Microelectronics, MIEL 2021",
title = "AI Assisted Optimization of Unimorph Tapered Cantilever for Piezoelectric Energy Harvesting",
pages = "285-288",
doi = "10.1109/MIEL52794.2021.9569184"
}

Pertin, O., Guha, K., Jakšić, O.,& Jakšić, Z.. (2021). AI Assisted Optimization of Unimorph Tapered Cantilever for Piezoelectric Energy Harvesting. in 32nd IEEE International Conference on Microelectronics, MIEL 2021
Institute of Electrical and Electronics Engineers Inc.., 285-288.
https://doi.org/10.1109/MIEL52794.2021.9569184

Pertin O, Guha K, Jakšić O, Jakšić Z. AI Assisted Optimization of Unimorph Tapered Cantilever for Piezoelectric Energy Harvesting. in 32nd IEEE International Conference on Microelectronics, MIEL 2021. 2021;:285-288.
doi:10.1109/MIEL52794.2021.9569184 .

Pertin, Osor, Guha, Koushik, Jakšić, Olga, Jakšić, Zoran, "AI Assisted Optimization of Unimorph Tapered Cantilever for Piezoelectric Energy Harvesting" in 32nd IEEE International Conference on Microelectronics, MIEL 2021 (2021):285-288,
https://doi.org/10.1109/MIEL52794.2021.9569184 . .

TY  - JOUR
AU  - Jakšić, Zoran
AU  - Obradov, Marko
AU  - Jakšić, Olga
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4914
AB  - Recently, biological nanostructures became an important source of inspiration for plasmonics, with many described implementations and proposed applications. Among them are brochosome-inspired plasmonic microstructures—roughly spherical core-shell particles with submicrometer diameters and with indented surfaces. Our intention was to start from the nanoplasmonic point of view and to systematically classify possible alternative forms of brochosome-inspired metal-containing particles producible by the state-of-the-art nanofabrication. A wealth of novel structures arises from this systematization of bioinspired metal-containing nanocomposites. Besides various surface nanoapertures, we consider structures closely related to them in electromagnetic sense like surface nano-protrusions, shell reliefs obtained by nano-sculpting, and various combinations of these. This approach helped us build a new design toolbox for brochosome-inspired structures. Additionally, we used the finite elements method to simulate the optical properties of simple brochosome-inspired structures. We encountered a plethora of advantageous optical traits, including enhanced absorption, antireflective properties, and metamaterial behavior (effective refractive index close to zero or negative). We conclude that the presented approach offers a wealth of traits useful for practical applications. The described research represents our attempt to outline a possible roadmap for further development of bioinspired nanoplasmonic particles and to offer a source of ideas and directions for future research.
PB  - MDPI
T2  - Biomimetics
T1  - Brochosome-Inspired Metal-Containing Particles as Biomimetic Building Blocks for Nanoplasmonics: Conceptual Generalizations
VL  - 6
IS  - 4
SP  - 69
DO  - 10.3390/biomimetics6040069
ER  - 

@article{
author = "Jakšić, Zoran and Obradov, Marko and Jakšić, Olga",
year = "2021",
abstract = "Recently, biological nanostructures became an important source of inspiration for plasmonics, with many described implementations and proposed applications. Among them are brochosome-inspired plasmonic microstructures—roughly spherical core-shell particles with submicrometer diameters and with indented surfaces. Our intention was to start from the nanoplasmonic point of view and to systematically classify possible alternative forms of brochosome-inspired metal-containing particles producible by the state-of-the-art nanofabrication. A wealth of novel structures arises from this systematization of bioinspired metal-containing nanocomposites. Besides various surface nanoapertures, we consider structures closely related to them in electromagnetic sense like surface nano-protrusions, shell reliefs obtained by nano-sculpting, and various combinations of these. This approach helped us build a new design toolbox for brochosome-inspired structures. Additionally, we used the finite elements method to simulate the optical properties of simple brochosome-inspired structures. We encountered a plethora of advantageous optical traits, including enhanced absorption, antireflective properties, and metamaterial behavior (effective refractive index close to zero or negative). We conclude that the presented approach offers a wealth of traits useful for practical applications. The described research represents our attempt to outline a possible roadmap for further development of bioinspired nanoplasmonic particles and to offer a source of ideas and directions for future research.",
publisher = "MDPI",
journal = "Biomimetics",
title = "Brochosome-Inspired Metal-Containing Particles as Biomimetic Building Blocks for Nanoplasmonics: Conceptual Generalizations",
volume = "6",
number = "4",
pages = "69",
doi = "10.3390/biomimetics6040069"
}

Jakšić, Z., Obradov, M.,& Jakšić, O.. (2021). Brochosome-Inspired Metal-Containing Particles as Biomimetic Building Blocks for Nanoplasmonics: Conceptual Generalizations. in Biomimetics
MDPI., 6(4), 69.
https://doi.org/10.3390/biomimetics6040069

Jakšić Z, Obradov M, Jakšić O. Brochosome-Inspired Metal-Containing Particles as Biomimetic Building Blocks for Nanoplasmonics: Conceptual Generalizations. in Biomimetics. 2021;6(4):69.
doi:10.3390/biomimetics6040069 .

Jakšić, Zoran, Obradov, Marko, Jakšić, Olga, "Brochosome-Inspired Metal-Containing Particles as Biomimetic Building Blocks for Nanoplasmonics: Conceptual Generalizations" in Biomimetics, 6, no. 4 (2021):69,
https://doi.org/10.3390/biomimetics6040069 . .

TY  - JOUR
AU  - Pertin, Osor
AU  - Guha, Koushik
AU  - Jakšić, Olga
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4784
AB  - This paper presents a study on the design and multiobjective optimization of a bimorph-segmented linearly tapered piezoelectric harvester for low-frequency and multimode vibration energy harvesting. The procedure starts with a significant number of FEM simulations of the structure with different geometric dimensions—length, width, and tapering ratio. The datasets train the artificial neural network (ANN) that provides the fitting function to be modified and used in algorithms for optimization, aiming to achieve minimal resonant frequency and maximal generated power. Levenberg–Marquardt (LM) and scaled conjugate gradient (SCG) methods were used to train the ANN, then the goal attainment method (GAM) and genetic algorithm (GA) were used for optimi-zation. The dominant solution resulted from optimization by the genetic algorithm integrated with the ANN fitting function obtained by the SCG training method. The optimal piezoelectric harvester is 121.3 mm long and 71.56 mm wide and has a taper ratio of 0.7682. It ensures over five times greater output power at frequencies below 200 Hz, which benefits the low frequency of the vibration spectrum. The optimized design can harness the power of higher-resonance modes for multimode applications.
PB  - MDPI
T2  - Computation
T1  - Artificial intelligence-based optimization of a bimorph-segmented tapered piezoelectric mems energy harvester for multimode operation
VL  - 9
IS  - 8
SP  - 84
DO  - 10.3390/computation9080084
ER  - 

@article{
author = "Pertin, Osor and Guha, Koushik and Jakšić, Olga",
year = "2021",
abstract = "This paper presents a study on the design and multiobjective optimization of a bimorph-segmented linearly tapered piezoelectric harvester for low-frequency and multimode vibration energy harvesting. The procedure starts with a significant number of FEM simulations of the structure with different geometric dimensions—length, width, and tapering ratio. The datasets train the artificial neural network (ANN) that provides the fitting function to be modified and used in algorithms for optimization, aiming to achieve minimal resonant frequency and maximal generated power. Levenberg–Marquardt (LM) and scaled conjugate gradient (SCG) methods were used to train the ANN, then the goal attainment method (GAM) and genetic algorithm (GA) were used for optimi-zation. The dominant solution resulted from optimization by the genetic algorithm integrated with the ANN fitting function obtained by the SCG training method. The optimal piezoelectric harvester is 121.3 mm long and 71.56 mm wide and has a taper ratio of 0.7682. It ensures over five times greater output power at frequencies below 200 Hz, which benefits the low frequency of the vibration spectrum. The optimized design can harness the power of higher-resonance modes for multimode applications.",
publisher = "MDPI",
journal = "Computation",
title = "Artificial intelligence-based optimization of a bimorph-segmented tapered piezoelectric mems energy harvester for multimode operation",
volume = "9",
number = "8",
pages = "84",
doi = "10.3390/computation9080084"
}

Pertin, O., Guha, K.,& Jakšić, O.. (2021). Artificial intelligence-based optimization of a bimorph-segmented tapered piezoelectric mems energy harvester for multimode operation. in Computation
MDPI., 9(8), 84.
https://doi.org/10.3390/computation9080084

Pertin O, Guha K, Jakšić O. Artificial intelligence-based optimization of a bimorph-segmented tapered piezoelectric mems energy harvester for multimode operation. in Computation. 2021;9(8):84.
doi:10.3390/computation9080084 .

Pertin, Osor, Guha, Koushik, Jakšić, Olga, "Artificial intelligence-based optimization of a bimorph-segmented tapered piezoelectric mems energy harvester for multimode operation" in Computation, 9, no. 8 (2021):84,
https://doi.org/10.3390/computation9080084 . .

TY  - JOUR
AU  - Jakšić, Zoran
AU  - Jakšić, Olga
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3637
AB  - Nanomembranes are the principal building block of basically all living organisms, and without them life as we know it would not be possible. Yet in spite of their ubiquity, for a long time their artificial counterparts have mostly been overlooked in mainstream microsystem and nanosystem technologies, being a niche topic at best, instead of holding their rightful position as one of the basic structures in such systems. Synthetic biomimetic nanomembranes are essential in a vast number of seemingly disparate fields, including separation science and technology, sensing technology, environmental protection, renewable energy, process industry, life sciences and biomedicine. In this study, we review the possibilities for the synthesis of inorganic, organic and hybrid nanomembranes mimicking and in some way surpassing living structures, consider their main properties of interest, give a short overview of possible pathways for their enhancement through multifunctionalization, and summarize some of their numerous applications reported to date, with a focus on recent findings. It is our aim to stress the role of functionalized synthetic biomimetic nanomembranes within the context of modern nanoscience and nanotechnologies. We hope to highlight the importance of the topic, as well as to stress its great applicability potentials in many facets of human life.
PB  - MDPI
T2  - Biomimetics
T1  - Biomimetic Nanomembranes: An Overview
VL  - 5
IS  - 2
SP  - 24
DO  - 10.3390/BIOMIMETICS5020024
ER  - 

@article{
author = "Jakšić, Zoran and Jakšić, Olga",
year = "2020",
abstract = "Nanomembranes are the principal building block of basically all living organisms, and without them life as we know it would not be possible. Yet in spite of their ubiquity, for a long time their artificial counterparts have mostly been overlooked in mainstream microsystem and nanosystem technologies, being a niche topic at best, instead of holding their rightful position as one of the basic structures in such systems. Synthetic biomimetic nanomembranes are essential in a vast number of seemingly disparate fields, including separation science and technology, sensing technology, environmental protection, renewable energy, process industry, life sciences and biomedicine. In this study, we review the possibilities for the synthesis of inorganic, organic and hybrid nanomembranes mimicking and in some way surpassing living structures, consider their main properties of interest, give a short overview of possible pathways for their enhancement through multifunctionalization, and summarize some of their numerous applications reported to date, with a focus on recent findings. It is our aim to stress the role of functionalized synthetic biomimetic nanomembranes within the context of modern nanoscience and nanotechnologies. We hope to highlight the importance of the topic, as well as to stress its great applicability potentials in many facets of human life.",
publisher = "MDPI",
journal = "Biomimetics",
title = "Biomimetic Nanomembranes: An Overview",
volume = "5",
number = "2",
pages = "24",
doi = "10.3390/BIOMIMETICS5020024"
}

Jakšić, Z.,& Jakšić, O.. (2020). Biomimetic Nanomembranes: An Overview. in Biomimetics
MDPI., 5(2), 24.
https://doi.org/10.3390/BIOMIMETICS5020024

Jakšić Z, Jakšić O. Biomimetic Nanomembranes: An Overview. in Biomimetics. 2020;5(2):24.
doi:10.3390/BIOMIMETICS5020024 .

Jakšić, Zoran, Jakšić, Olga, "Biomimetic Nanomembranes: An Overview" in Biomimetics, 5, no. 2 (2020):24,
https://doi.org/10.3390/BIOMIMETICS5020024 . .

TY  - JOUR
AU  - Jakšić, Olga
AU  - Spasenović, Marko
AU  - Jakšić, Zoran
AU  - Vasiljević-Radović, Dana
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4008
AB  - Surface density of adsorption sites on an adsorbent (including affinity-based sensors) is one
of the basic input parameters in modeling of process kinetics in adsorption based devices. Yet, there is
no simple expression suitable for fast calculations in current multiscale models. The published
experimental data are often application-specific and related to the equilibrium surface density of
adsorbate molecules. Based on the known density of adsorbed gas molecules and the surface coverage,
both of these in equilibrium, we obtained an equation for the surface density of adsorption sites.
We applied our analysis to the case of pristine graphene and thus estimated molecular dynamics of
adsorption on it. The monolayer coverage was determined for various pressures and temperatures.
The results are verified by comparison with literature data. The results may be applicable to modeling
of the surface density of adsorption sites for gas adsorption on other homogeneous crystallographic
surfaces. In addition to it, the obtained analytical expressions are suitable for training artificial
neural networks determining the surface density of adsorption sites on a graphene surface based
on the known binding energy, temperature, mass of adsorbate molecules and their affinity towards
graphene. The latter is of interest for multiscale modelling.
PB  - MDPI
T2  - Surfaces
T1  - Monolayer Gas Adsorption on Graphene-Based Materials: Surface Density of Adsorption Sites and Adsorption Capacity
VL  - 3
IS  - 3
SP  - 423
EP  - 432
DO  - 10.3390/surfaces3030031
ER  - 

@article{
author = "Jakšić, Olga and Spasenović, Marko and Jakšić, Zoran and Vasiljević-Radović, Dana",
year = "2020",
abstract = "Surface density of adsorption sites on an adsorbent (including affinity-based sensors) is one
of the basic input parameters in modeling of process kinetics in adsorption based devices. Yet, there is
no simple expression suitable for fast calculations in current multiscale models. The published
experimental data are often application-specific and related to the equilibrium surface density of
adsorbate molecules. Based on the known density of adsorbed gas molecules and the surface coverage,
both of these in equilibrium, we obtained an equation for the surface density of adsorption sites.
We applied our analysis to the case of pristine graphene and thus estimated molecular dynamics of
adsorption on it. The monolayer coverage was determined for various pressures and temperatures.
The results are verified by comparison with literature data. The results may be applicable to modeling
of the surface density of adsorption sites for gas adsorption on other homogeneous crystallographic
surfaces. In addition to it, the obtained analytical expressions are suitable for training artificial
neural networks determining the surface density of adsorption sites on a graphene surface based
on the known binding energy, temperature, mass of adsorbate molecules and their affinity towards
graphene. The latter is of interest for multiscale modelling.",
publisher = "MDPI",
journal = "Surfaces",
title = "Monolayer Gas Adsorption on Graphene-Based Materials: Surface Density of Adsorption Sites and Adsorption Capacity",
volume = "3",
number = "3",
pages = "423-432",
doi = "10.3390/surfaces3030031"
}

Jakšić, O., Spasenović, M., Jakšić, Z.,& Vasiljević-Radović, D.. (2020). Monolayer Gas Adsorption on Graphene-Based Materials: Surface Density of Adsorption Sites and Adsorption Capacity. in Surfaces
MDPI., 3(3), 423-432.
https://doi.org/10.3390/surfaces3030031

Jakšić O, Spasenović M, Jakšić Z, Vasiljević-Radović D. Monolayer Gas Adsorption on Graphene-Based Materials: Surface Density of Adsorption Sites and Adsorption Capacity. in Surfaces. 2020;3(3):423-432.
doi:10.3390/surfaces3030031 .

Jakšić, Olga, Spasenović, Marko, Jakšić, Zoran, Vasiljević-Radović, Dana, "Monolayer Gas Adsorption on Graphene-Based Materials: Surface Density of Adsorption Sites and Adsorption Capacity" in Surfaces, 3, no. 3 (2020):423-432,
https://doi.org/10.3390/surfaces3030031 . .

TY  - JOUR
AU  - Jokić, Ivana
AU  - Jakšić, Olga
AU  - Frantlović, Miloš
AU  - Jakšić, Zoran
AU  - Guha, Koushik
AU  - Rao, Karumuri Srinivasa
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4024
AB  - The importance of adsorption-based biochemical/biological sensors in biochemistry and biophysics is paramount. Their temporal response gives information about the presence of a biochemical/biological analyte, its concentration and its interactions with the adsorption sites (which may be an integral part of the surface itself or immobilized functionalizing molecules). Mathematical models of the temporal response taking into account as many relevant effects as possible are essential for obtaining reliable information. We present a novel model taking into account the bimodal affinity of a sensing surface (adsorption occurs on two distinct site types), and the adsorption-caused depletion of the analyte from the sample. We perform qualitative and quantitative analysis of the analyte depletion influence on the bimodal adsorption, and of the influence of the sensing surface inhomogeneity on the sensor temporal response, for different analyte concentrations and different fractions of two types of adsorption sites. Since the presented mathematical model deals with the realistic cases of the sensing surface non-uniformity and the finite amount of analyte present in the sensor reaction chamber, it enables improved accuracy in interpreting the measurement data. Our results are general, i.e. valid for any adsorption sensor (microcantilevers, plasmonics) and for arbitrary sensor dimensions.
PB  - Springer
T2  - Microsystem Technologies
T1  - Temporal response of biochemical and biological sensors with bimodal surface adsorption from a finite sample
DO  - 10.1007/s00542-020-05051-w
ER  - 

@article{
author = "Jokić, Ivana and Jakšić, Olga and Frantlović, Miloš and Jakšić, Zoran and Guha, Koushik and Rao, Karumuri Srinivasa",
year = "2020",
abstract = "The importance of adsorption-based biochemical/biological sensors in biochemistry and biophysics is paramount. Their temporal response gives information about the presence of a biochemical/biological analyte, its concentration and its interactions with the adsorption sites (which may be an integral part of the surface itself or immobilized functionalizing molecules). Mathematical models of the temporal response taking into account as many relevant effects as possible are essential for obtaining reliable information. We present a novel model taking into account the bimodal affinity of a sensing surface (adsorption occurs on two distinct site types), and the adsorption-caused depletion of the analyte from the sample. We perform qualitative and quantitative analysis of the analyte depletion influence on the bimodal adsorption, and of the influence of the sensing surface inhomogeneity on the sensor temporal response, for different analyte concentrations and different fractions of two types of adsorption sites. Since the presented mathematical model deals with the realistic cases of the sensing surface non-uniformity and the finite amount of analyte present in the sensor reaction chamber, it enables improved accuracy in interpreting the measurement data. Our results are general, i.e. valid for any adsorption sensor (microcantilevers, plasmonics) and for arbitrary sensor dimensions.",
publisher = "Springer",
journal = "Microsystem Technologies",
title = "Temporal response of biochemical and biological sensors with bimodal surface adsorption from a finite sample",
doi = "10.1007/s00542-020-05051-w"
}

Jokić, I., Jakšić, O., Frantlović, M., Jakšić, Z., Guha, K.,& Rao, K. S.. (2020). Temporal response of biochemical and biological sensors with bimodal surface adsorption from a finite sample. in Microsystem Technologies
Springer..
https://doi.org/10.1007/s00542-020-05051-w

Jokić I, Jakšić O, Frantlović M, Jakšić Z, Guha K, Rao KS. Temporal response of biochemical and biological sensors with bimodal surface adsorption from a finite sample. in Microsystem Technologies. 2020;.
doi:10.1007/s00542-020-05051-w .

Jokić, Ivana, Jakšić, Olga, Frantlović, Miloš, Jakšić, Zoran, Guha, Koushik, Rao, Karumuri Srinivasa, "Temporal response of biochemical and biological sensors with bimodal surface adsorption from a finite sample" in Microsystem Technologies (2020),
https://doi.org/10.1007/s00542-020-05051-w . .

TY  - JOUR
AU  - Jakšić, Olga
AU  - Jokić, Ivana
AU  - Jakšić, Zoran
AU  - Mladenović, Ivana
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3493
AB  - In order to allow for multiscale modeling of complex systems we focus on various approaches to modeling binary adsorption. We consider multiple methods of  modeling the temporal response of general plasmonic sensors. We start from the analytical approach. The kinetics of adsorption and desorption is modeled both as a first order reaction and as a second order reaction. The criteria for their validity and the choice between them in the case of two-component adsorption are established. Due to the nonlinearities of the second order reactions and the lack of their analytical solutions, computer aided modeling is considered next, also in multiple ways: the employment of numerical solvers, fitting of experimental results, the stochastic simulation algorithms and the employment of artificial neural networks (ANN). The examples we present illustrate the advantages and disadvantages of the particular approaches. The goal is to aid the concurrent multiscale modeling of adsorption-based devices. Machine learning in ANN performed here is used to estimate the equilibrium values of adsorbed quantities. The obtained results show that to train an ANN for the estimation of the equilibrium adsorption quantities the Levenberg-Marquardt and the Bayesian regularization algorithms are less efficient than the quasi-Newton BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm.
PB  - Springer Nature
T2  - Applied Physics A
T1  - The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling
VL  - 126
SP  - 342
DO  - 10.1007/s00339-020-03524-3
ER  - 

@article{
author = "Jakšić, Olga and Jokić, Ivana and Jakšić, Zoran and Mladenović, Ivana and Radulović, Katarina and Frantlović, Miloš",
year = "2020",
abstract = "In order to allow for multiscale modeling of complex systems we focus on various approaches to modeling binary adsorption. We consider multiple methods of  modeling the temporal response of general plasmonic sensors. We start from the analytical approach. The kinetics of adsorption and desorption is modeled both as a first order reaction and as a second order reaction. The criteria for their validity and the choice between them in the case of two-component adsorption are established. Due to the nonlinearities of the second order reactions and the lack of their analytical solutions, computer aided modeling is considered next, also in multiple ways: the employment of numerical solvers, fitting of experimental results, the stochastic simulation algorithms and the employment of artificial neural networks (ANN). The examples we present illustrate the advantages and disadvantages of the particular approaches. The goal is to aid the concurrent multiscale modeling of adsorption-based devices. Machine learning in ANN performed here is used to estimate the equilibrium values of adsorbed quantities. The obtained results show that to train an ANN for the estimation of the equilibrium adsorption quantities the Levenberg-Marquardt and the Bayesian regularization algorithms are less efficient than the quasi-Newton BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm.",
publisher = "Springer Nature",
journal = "Applied Physics A",
title = "The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling",
volume = "126",
pages = "342",
doi = "10.1007/s00339-020-03524-3"
}

Jakšić, O., Jokić, I., Jakšić, Z., Mladenović, I., Radulović, K.,& Frantlović, M.. (2020). The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling. in Applied Physics A
Springer Nature., 126, 342.
https://doi.org/10.1007/s00339-020-03524-3

Jakšić O, Jokić I, Jakšić Z, Mladenović I, Radulović K, Frantlović M. The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling. in Applied Physics A. 2020;126:342.
doi:10.1007/s00339-020-03524-3 .

Jakšić, Olga, Jokić, Ivana, Jakšić, Zoran, Mladenović, Ivana, Radulović, Katarina, Frantlović, Miloš, "The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling" in Applied Physics A, 126 (2020):342,
https://doi.org/10.1007/s00339-020-03524-3 . .

TY  - JOUR
AU  - Jakšić, Olga
AU  - Jokić, Ivana
AU  - Jakšić, Zoran
AU  - Mladenović, Ivana
AU  - Radulović, Katarina
AU  - Frantlović, Miloš
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3494
AB  - In order to allow for multiscale modeling of complex systems we focus on various approaches to modeling binary adsorption. We consider multiple methods of  modeling the temporal response of general plasmonic sensors. We start from the analytical approach. The kinetics of adsorption and desorption is modeled both as a first order reaction and as a second order reaction. The criteria for their validity and the choice between them in the case of two-component adsorption are established. Due to the nonlinearities of the second order reactions and the lack of their analytical solutions, computer aided modeling is considered next, also in multiple ways: the employment of numerical solvers, fitting of experimental results, the stochastic simulation algorithms and the employment of artificial neural networks (ANN). The examples we present illustrate the advantages and disadvantages of the particular approaches. The goal is to aid the concurrent multiscale modeling of adsorption-based devices. Machine learning in ANN performed here is used to estimate the equilibrium values of adsorbed quantities. The obtained results show that to train an ANN for the estimation of the equilibrium adsorption quantities the Levenberg-Marquardt and the Bayesian regularization algorithms are less efficient than the quasi-Newton BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm.
PB  - Springer Nature
T2  - Applied Physics A
T1  - The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling
VL  - 126
SP  - 342
DO  - 10.1007/s00339-020-03524-3
ER  - 

@article{
author = "Jakšić, Olga and Jokić, Ivana and Jakšić, Zoran and Mladenović, Ivana and Radulović, Katarina and Frantlović, Miloš",
year = "2020",
abstract = "In order to allow for multiscale modeling of complex systems we focus on various approaches to modeling binary adsorption. We consider multiple methods of  modeling the temporal response of general plasmonic sensors. We start from the analytical approach. The kinetics of adsorption and desorption is modeled both as a first order reaction and as a second order reaction. The criteria for their validity and the choice between them in the case of two-component adsorption are established. Due to the nonlinearities of the second order reactions and the lack of their analytical solutions, computer aided modeling is considered next, also in multiple ways: the employment of numerical solvers, fitting of experimental results, the stochastic simulation algorithms and the employment of artificial neural networks (ANN). The examples we present illustrate the advantages and disadvantages of the particular approaches. The goal is to aid the concurrent multiscale modeling of adsorption-based devices. Machine learning in ANN performed here is used to estimate the equilibrium values of adsorbed quantities. The obtained results show that to train an ANN for the estimation of the equilibrium adsorption quantities the Levenberg-Marquardt and the Bayesian regularization algorithms are less efficient than the quasi-Newton BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm.",
publisher = "Springer Nature",
journal = "Applied Physics A",
title = "The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling",
volume = "126",
pages = "342",
doi = "10.1007/s00339-020-03524-3"
}

Jakšić, O., Jokić, I., Jakšić, Z., Mladenović, I., Radulović, K.,& Frantlović, M.. (2020). The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling. in Applied Physics A
Springer Nature., 126, 342.
https://doi.org/10.1007/s00339-020-03524-3

Jakšić O, Jokić I, Jakšić Z, Mladenović I, Radulović K, Frantlović M. The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling. in Applied Physics A. 2020;126:342.
doi:10.1007/s00339-020-03524-3 .

Jakšić, Olga, Jokić, Ivana, Jakšić, Zoran, Mladenović, Ivana, Radulović, Katarina, Frantlović, Miloš, "The time response of plasmonic sensors due to binary adsorption: analytical versus numerical modeling" in Applied Physics A, 126 (2020):342,
https://doi.org/10.1007/s00339-020-03524-3 . .

TY  - JOUR
AU  - Jakšić, Zoran
AU  - Obradov, Marko
AU  - Tanasković, Dragan
AU  - Jakšić, Olga
AU  - Vasiljević-Radović, Dana
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3394
AB  - In this contribution we propose, design and numerically analyze a plasmonic metamaterial for enhanced optical absorption, based on 100 nm thick titanium carbide (Ti3C2Tx) MXene sheets. The analyzed metamaterial is built as a sandwich with a solid MXene bottom (ground) layer, a lossless dielectric middle layer and an MXene mesh top layer. The unit cell of the periodic top mesh consists of two crossed ultrathin MXene strips, each of them spreading its width in step-like increments towards the middle of the unit cell. This ensures position-variable width of the top surface apertures, resulting in a widening of the bandwidth of spectral dispersion of the scattering parameters of the obtained metamaterial. We utilize the finite element method to simulate the scattering parameters of the MXene-based metamaterial. We apply Drude–Lorentz model to derive our analytical expression for complex permittivity of Ti3C2Tx MXene based on experimental measurements. The described approach is general, since various alternative plasmonic materials can be utilized, including different MXenes, but other materials as well, such as graphene, metals and metal alloys, semiconductors, etc. The approach is applicable to various other nanoplasmonic structures. In this manner the available toolbox for plasmonics is extended and a new degree of design freedom ensured.
PB  - Springer
T2  - Optical and Quantum Electronics
T1  - Electromagnetic simulation of MXene-based plasmonic metamaterials with enhanced optical absorption
VL  - 52
IS  - 2
SP  - 83
DO  - 10.1007/s11082-020-2227-8
ER  - 

@article{
author = "Jakšić, Zoran and Obradov, Marko and Tanasković, Dragan and Jakšić, Olga and Vasiljević-Radović, Dana",
year = "2020",
abstract = "In this contribution we propose, design and numerically analyze a plasmonic metamaterial for enhanced optical absorption, based on 100 nm thick titanium carbide (Ti3C2Tx) MXene sheets. The analyzed metamaterial is built as a sandwich with a solid MXene bottom (ground) layer, a lossless dielectric middle layer and an MXene mesh top layer. The unit cell of the periodic top mesh consists of two crossed ultrathin MXene strips, each of them spreading its width in step-like increments towards the middle of the unit cell. This ensures position-variable width of the top surface apertures, resulting in a widening of the bandwidth of spectral dispersion of the scattering parameters of the obtained metamaterial. We utilize the finite element method to simulate the scattering parameters of the MXene-based metamaterial. We apply Drude–Lorentz model to derive our analytical expression for complex permittivity of Ti3C2Tx MXene based on experimental measurements. The described approach is general, since various alternative plasmonic materials can be utilized, including different MXenes, but other materials as well, such as graphene, metals and metal alloys, semiconductors, etc. The approach is applicable to various other nanoplasmonic structures. In this manner the available toolbox for plasmonics is extended and a new degree of design freedom ensured.",
publisher = "Springer",
journal = "Optical and Quantum Electronics",
title = "Electromagnetic simulation of MXene-based plasmonic metamaterials with enhanced optical absorption",
volume = "52",
number = "2",
pages = "83",
doi = "10.1007/s11082-020-2227-8"
}

Jakšić, Z., Obradov, M., Tanasković, D., Jakšić, O.,& Vasiljević-Radović, D.. (2020). Electromagnetic simulation of MXene-based plasmonic metamaterials with enhanced optical absorption. in Optical and Quantum Electronics
Springer., 52(2), 83.
https://doi.org/10.1007/s11082-020-2227-8

Jakšić Z, Obradov M, Tanasković D, Jakšić O, Vasiljević-Radović D. Electromagnetic simulation of MXene-based plasmonic metamaterials with enhanced optical absorption. in Optical and Quantum Electronics. 2020;52(2):83.
doi:10.1007/s11082-020-2227-8 .

Jakšić, Zoran, Obradov, Marko, Tanasković, Dragan, Jakšić, Olga, Vasiljević-Radović, Dana, "Electromagnetic simulation of MXene-based plasmonic metamaterials with enhanced optical absorption" in Optical and Quantum Electronics, 52, no. 2 (2020):83,
https://doi.org/10.1007/s11082-020-2227-8 . .

TY  - GEN
AU  - Poljak, Predrag
AU  - Frantlović, Miloš
AU  - Smiljanić, Milče M.
AU  - Lazić, Žarko
AU  - Jokić, Ivana
AU  - Randjelović, Danijela
AU  - Jakšić, Olga
AU  - Tanasković, Dragan
AU  - Vasiljević-Radović, Dana
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3986
AB  - Ово техничко решење обухвата хардверско-софтверски систем који омогућује
аутоматско спровођење карактеризације већег броја силицијумских пиезоотпорних
МЕМС сензора притиска истовремено. Користи се за одређивање зависности
електричних параметара таквих сензора од притиска и температуре. Апаратура, поред
комерцијално доступне, обухвата опрему развијену у Центру за микроелектронске
технологије (ИХТМ–ЦМТ), а софтверска апликација која служи за управљање
процесом је у потпуности развијена у ИХТМ–ЦМТ.
PB  - Belgrade : University of Belgrade - Institute of Chemistry, Technology and Metallurgy
T1  - Апаратура за аутоматску карактеризацију силицијумских пиезоотпорних МЕМС сензора притиска
UR  - https://hdl.handle.net/21.15107/rcub_cer_3986
ER  - 

@misc{
author = "Poljak, Predrag and Frantlović, Miloš and Smiljanić, Milče M. and Lazić, Žarko and Jokić, Ivana and Randjelović, Danijela and Jakšić, Olga and Tanasković, Dragan and Vasiljević-Radović, Dana",
year = "2019",
abstract = "Ово техничко решење обухвата хардверско-софтверски систем који омогућује
аутоматско спровођење карактеризације већег броја силицијумских пиезоотпорних
МЕМС сензора притиска истовремено. Користи се за одређивање зависности
електричних параметара таквих сензора од притиска и температуре. Апаратура, поред
комерцијално доступне, обухвата опрему развијену у Центру за микроелектронске
технологије (ИХТМ–ЦМТ), а софтверска апликација која служи за управљање
процесом је у потпуности развијена у ИХТМ–ЦМТ.",
publisher = "Belgrade : University of Belgrade - Institute of Chemistry, Technology and Metallurgy",
title = "Апаратура за аутоматску карактеризацију силицијумских пиезоотпорних МЕМС сензора притиска",
url = "https://hdl.handle.net/21.15107/rcub_cer_3986"
}

Poljak, P., Frantlović, M., Smiljanić, M. M., Lazić, Ž., Jokić, I., Randjelović, D., Jakšić, O., Tanasković, D.,& Vasiljević-Radović, D.. (2019). Апаратура за аутоматску карактеризацију силицијумских пиезоотпорних МЕМС сензора притиска. 
Belgrade : University of Belgrade - Institute of Chemistry, Technology and Metallurgy..
https://hdl.handle.net/21.15107/rcub_cer_3986

Poljak P, Frantlović M, Smiljanić MM, Lazić Ž, Jokić I, Randjelović D, Jakšić O, Tanasković D, Vasiljević-Radović D. Апаратура за аутоматску карактеризацију силицијумских пиезоотпорних МЕМС сензора притиска. 2019;.
https://hdl.handle.net/21.15107/rcub_cer_3986 .

Poljak, Predrag, Frantlović, Miloš, Smiljanić, Milče M., Lazić, Žarko, Jokić, Ivana, Randjelović, Danijela, Jakšić, Olga, Tanasković, Dragan, Vasiljević-Radović, Dana, "Апаратура за аутоматску карактеризацију силицијумских пиезоотпорних МЕМС сензора притиска" (2019),
https://hdl.handle.net/21.15107/rcub_cer_3986 .

TY  - JOUR
AU  - Jakšić, Olga
AU  - Jakšić, Zoran
AU  - Rašljić, Milena
AU  - Kolar-Anić, Ljiljana
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/2487
AB  - Starting from the fact that monocomponent adsorption, whether modeled by Lagergren or nonlinear Riccati equation, does not sustain oscillations, we speculate about the nature of multiple steady state states in multicomponent adsorption with second-order kinetics and about the possibility that multicomponent adsorption might exhibit oscillating behavior, in order to provide a tool for better discerning possible oscillations from inevitable fluctuations in experimental results or a tool for a better control of adsorption process far from equilibrium. We perform an analysis of stability of binary adsorption with second-order kinetics in multiple ways. We address perturbations around the steady state analytically, first in a classical way, then by introducing Langevin forces and analyzing the reaction flux and cross-correlations, then by applying the stochastic chemical master equation approach, and finally, numerically, by using stochastic simulation algorithms. Our results show that stationary states in this model are stable nodes. Hence, experimental results with purported oscillations in response should be addressed from the point of view of fluctuations and noise analysis.
PB  - Hindawi
T2  - Advances in Mathematical Physics
T1  - On Oscillations and Noise in Multicomponent Adsorption: The Nature of Multiple Stationary States
VL  - 2019
SP  - 7687643
DO  - 10.1155/2019/7687643
ER  - 

@article{
author = "Jakšić, Olga and Jakšić, Zoran and Rašljić, Milena and Kolar-Anić, Ljiljana",
year = "2019",
abstract = "Starting from the fact that monocomponent adsorption, whether modeled by Lagergren or nonlinear Riccati equation, does not sustain oscillations, we speculate about the nature of multiple steady state states in multicomponent adsorption with second-order kinetics and about the possibility that multicomponent adsorption might exhibit oscillating behavior, in order to provide a tool for better discerning possible oscillations from inevitable fluctuations in experimental results or a tool for a better control of adsorption process far from equilibrium. We perform an analysis of stability of binary adsorption with second-order kinetics in multiple ways. We address perturbations around the steady state analytically, first in a classical way, then by introducing Langevin forces and analyzing the reaction flux and cross-correlations, then by applying the stochastic chemical master equation approach, and finally, numerically, by using stochastic simulation algorithms. Our results show that stationary states in this model are stable nodes. Hence, experimental results with purported oscillations in response should be addressed from the point of view of fluctuations and noise analysis.",
publisher = "Hindawi",
journal = "Advances in Mathematical Physics",
title = "On Oscillations and Noise in Multicomponent Adsorption: The Nature of Multiple Stationary States",
volume = "2019",
pages = "7687643",
doi = "10.1155/2019/7687643"
}

Jakšić, O., Jakšić, Z., Rašljić, M.,& Kolar-Anić, L.. (2019). On Oscillations and Noise in Multicomponent Adsorption: The Nature of Multiple Stationary States. in Advances in Mathematical Physics
Hindawi., 2019, 7687643.
https://doi.org/10.1155/2019/7687643

Jakšić O, Jakšić Z, Rašljić M, Kolar-Anić L. On Oscillations and Noise in Multicomponent Adsorption: The Nature of Multiple Stationary States. in Advances in Mathematical Physics. 2019;2019:7687643.
doi:10.1155/2019/7687643 .

Jakšić, Olga, Jakšić, Zoran, Rašljić, Milena, Kolar-Anić, Ljiljana, "On Oscillations and Noise in Multicomponent Adsorption: The Nature of Multiple Stationary States" in Advances in Mathematical Physics, 2019 (2019):7687643,
https://doi.org/10.1155/2019/7687643 . .

TY  - CONF
AU  - Jakšić, Olga
AU  - Jokić, Ivana
AU  - Jakšić, Zoran
AU  - Obradov, Marko
AU  - Tanasković, Dragan
AU  - Randjelović, Danijela
AU  - Vasiljević-Radović, Dana
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3239
AB  - We address noise and stability of adsorptionbased sensing of ternary gas mixtures in affinity-based MEMS, NEMS and NOEMS sensors. We investigate mechanisms of such chemical sensing in diverse industrial environments where ternary gas mixtures are of importance. In all existing sensing devices signal fluctuations determine their ultimate performance, and in affinity-based nanodevices the prevailing noise is caused by adsorption and desorption of different species at the sensor surface. We consider analytically and numerically detection of three-component gas mixtures. We present results obtained by applying the conventional method for assessing stability of chemical reactions to three component monolayer adsorption. Gas molecules modeling as spherical particles is suitable for applying any model regarding population dynamics, but taking molecular dimension and orientation into account is more realistic. Noise analysis in time and frequency domain is performed for two different classes of ultrahigh sensitivity adsorption based gas sensors: (nano) plasmonic sensors (refractometric devices) and MEMS/NEMS resonator-based devices.
PB  - Institute of Electrical and Electronics Engineers (IEEE)
C3  - 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings
T1  - Modeling Noise and Stability of Affinity-Based MEMS, NEMS and NOEMS Sensors of Ternary Gas Mixtures
SP  - 165
EP  - 168
DO  - 10.1109/MIEL.2019.8889577
ER  - 

@conference{
author = "Jakšić, Olga and Jokić, Ivana and Jakšić, Zoran and Obradov, Marko and Tanasković, Dragan and Randjelović, Danijela and Vasiljević-Radović, Dana",
year = "2019",
abstract = "We address noise and stability of adsorptionbased sensing of ternary gas mixtures in affinity-based MEMS, NEMS and NOEMS sensors. We investigate mechanisms of such chemical sensing in diverse industrial environments where ternary gas mixtures are of importance. In all existing sensing devices signal fluctuations determine their ultimate performance, and in affinity-based nanodevices the prevailing noise is caused by adsorption and desorption of different species at the sensor surface. We consider analytically and numerically detection of three-component gas mixtures. We present results obtained by applying the conventional method for assessing stability of chemical reactions to three component monolayer adsorption. Gas molecules modeling as spherical particles is suitable for applying any model regarding population dynamics, but taking molecular dimension and orientation into account is more realistic. Noise analysis in time and frequency domain is performed for two different classes of ultrahigh sensitivity adsorption based gas sensors: (nano) plasmonic sensors (refractometric devices) and MEMS/NEMS resonator-based devices.",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
journal = "2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings",
title = "Modeling Noise and Stability of Affinity-Based MEMS, NEMS and NOEMS Sensors of Ternary Gas Mixtures",
pages = "165-168",
doi = "10.1109/MIEL.2019.8889577"
}

Jakšić, O., Jokić, I., Jakšić, Z., Obradov, M., Tanasković, D., Randjelović, D.,& Vasiljević-Radović, D.. (2019). Modeling Noise and Stability of Affinity-Based MEMS, NEMS and NOEMS Sensors of Ternary Gas Mixtures. in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings
Institute of Electrical and Electronics Engineers (IEEE)., 165-168.
https://doi.org/10.1109/MIEL.2019.8889577

Jakšić O, Jokić I, Jakšić Z, Obradov M, Tanasković D, Randjelović D, Vasiljević-Radović D. Modeling Noise and Stability of Affinity-Based MEMS, NEMS and NOEMS Sensors of Ternary Gas Mixtures. in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings. 2019;:165-168.
doi:10.1109/MIEL.2019.8889577 .

Jakšić, Olga, Jokić, Ivana, Jakšić, Zoran, Obradov, Marko, Tanasković, Dragan, Randjelović, Danijela, Vasiljević-Radović, Dana, "Modeling Noise and Stability of Affinity-Based MEMS, NEMS and NOEMS Sensors of Ternary Gas Mixtures" in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings (2019):165-168,
https://doi.org/10.1109/MIEL.2019.8889577 . .

TY  - CONF
AU  - Randjelović, Danijela
AU  - Jakšić, Olga
AU  - Popović, Bogdan
AU  - Joksimović, K.
AU  - Miletić, Srđan
AU  - Beškoski, Vladimir
AU  - Poljak, Predrag
PY  - 2019
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3258
AB  - Microbial fuel cells (MFC) present bioelectrochemical systems that allow generation of electricity during anaerobic respiration of selected bacterial species. They have very promising applications in wastewater purification systems, as biosensors or as alternative power source. This work is a result of joint multidisciplinary research and presents preliminary experimental results obtained by electrical characterization of a single-chamber MFC. The goal of research was to study activity of MFC and estimate its internal resistance.
PB  - Institute of Electrical and Electronics Engineers (IEEE)
C3  - 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings
T1  - Electrical Characterization of Microbial Fuel Cells – Method and Preliminary Results
SP  - 321
EP  - 324
DO  - 10.1109/MIEL.2019.8889650
ER  - 

@conference{
author = "Randjelović, Danijela and Jakšić, Olga and Popović, Bogdan and Joksimović, K. and Miletić, Srđan and Beškoski, Vladimir and Poljak, Predrag",
year = "2019",
abstract = "Microbial fuel cells (MFC) present bioelectrochemical systems that allow generation of electricity during anaerobic respiration of selected bacterial species. They have very promising applications in wastewater purification systems, as biosensors or as alternative power source. This work is a result of joint multidisciplinary research and presents preliminary experimental results obtained by electrical characterization of a single-chamber MFC. The goal of research was to study activity of MFC and estimate its internal resistance.",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
journal = "2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings",
title = "Electrical Characterization of Microbial Fuel Cells – Method and Preliminary Results",
pages = "321-324",
doi = "10.1109/MIEL.2019.8889650"
}

Randjelović, D., Jakšić, O., Popović, B., Joksimović, K., Miletić, S., Beškoski, V.,& Poljak, P.. (2019). Electrical Characterization of Microbial Fuel Cells – Method and Preliminary Results. in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings
Institute of Electrical and Electronics Engineers (IEEE)., 321-324.
https://doi.org/10.1109/MIEL.2019.8889650

Randjelović D, Jakšić O, Popović B, Joksimović K, Miletić S, Beškoski V, Poljak P. Electrical Characterization of Microbial Fuel Cells – Method and Preliminary Results. in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings. 2019;:321-324.
doi:10.1109/MIEL.2019.8889650 .

Randjelović, Danijela, Jakšić, Olga, Popović, Bogdan, Joksimović, K., Miletić, Srđan, Beškoski, Vladimir, Poljak, Predrag, "Electrical Characterization of Microbial Fuel Cells – Method and Preliminary Results" in 2019 IEEE 31st International Conference on Microelectronics, MIEL 2019 - Proceedings (2019):321-324,
https://doi.org/10.1109/MIEL.2019.8889650 . .