TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Lazović, Goran
AU  - Lu, Chun-An
AU  - Paunović, Vesna
AU  - Radović, Ivana
AU  - Stajčić, Aleksandar
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/3584
AB  - The BaTiO3 ceramics applications based on electronic properties have very high gradient
scientific and industrial-technological interests. Our scientific research has been based on nano BaTiO3
modified with Yttrium based organometallic salt (MOD-Y). The samples have been consolidated
at a sintering temperature of 1350  C. Within the study, the new frontiers for di erent electronic
properties between the layers of BaTiO3 grains have been introduced. The research target was
grain boundary investigations and the influence on dielectric properties. After scanning electron
microscopy and dielectric measurements, it has been established that modified BaTiO3 samples with
larger grains showed a better compact state that led to a higher dielectric constant value. DC bias
stability was also investigated and showed a connection between the grain size and capacitance
stability. Analyses of functions that could approximate experimental curves were successfully
employed. Practical application of fractal corrections was performed, based on surface ( s) and
pore size ( p) corrections, which resulted in obtainment of the relation between the capacitance and
Curie temperature. Successful introduction of fractal corrections for capacitance-Curie temperature
dependence for a set of experimental data is an important step towards further miniaturization of
intergranular capacitors.
PB  - MDPI
T2  - Applied Sciences
T1  - The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers
VL  - 10
SP  - 3485
DO  - 10.3390/app10103485
ER  - 

@article{
author = "Mitić, Vojislav V. and Lazović, Goran and Lu, Chun-An and Paunović, Vesna and Radović, Ivana and Stajčić, Aleksandar and Vlahović, Branislav",
year = "2020",
abstract = "The BaTiO3 ceramics applications based on electronic properties have very high gradient
scientific and industrial-technological interests. Our scientific research has been based on nano BaTiO3
modified with Yttrium based organometallic salt (MOD-Y). The samples have been consolidated
at a sintering temperature of 1350  C. Within the study, the new frontiers for di erent electronic
properties between the layers of BaTiO3 grains have been introduced. The research target was
grain boundary investigations and the influence on dielectric properties. After scanning electron
microscopy and dielectric measurements, it has been established that modified BaTiO3 samples with
larger grains showed a better compact state that led to a higher dielectric constant value. DC bias
stability was also investigated and showed a connection between the grain size and capacitance
stability. Analyses of functions that could approximate experimental curves were successfully
employed. Practical application of fractal corrections was performed, based on surface ( s) and
pore size ( p) corrections, which resulted in obtainment of the relation between the capacitance and
Curie temperature. Successful introduction of fractal corrections for capacitance-Curie temperature
dependence for a set of experimental data is an important step towards further miniaturization of
intergranular capacitors.",
publisher = "MDPI",
journal = "Applied Sciences",
title = "The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers",
volume = "10",
pages = "3485",
doi = "10.3390/app10103485"
}

Mitić, V. V., Lazović, G., Lu, C., Paunović, V., Radović, I., Stajčić, A.,& Vlahović, B.. (2020). The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers. in Applied Sciences
MDPI., 10, 3485.
https://doi.org/10.3390/app10103485

Mitić VV, Lazović G, Lu C, Paunović V, Radović I, Stajčić A, Vlahović B. The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers. in Applied Sciences. 2020;10:3485.
doi:10.3390/app10103485 .

Mitić, Vojislav V., Lazović, Goran, Lu, Chun-An, Paunović, Vesna, Radović, Ivana, Stajčić, Aleksandar, Vlahović, Branislav, "The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers" in Applied Sciences, 10 (2020):3485,
https://doi.org/10.3390/app10103485 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Lazović, Goran
AU  - Ribar, Srđan
AU  - Lu, Chun-An
AU  - Radović, Ivana
AU  - Stajčić, Aleksandar
AU  - Fecht, Hans
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4004
AB  - This paper is based on fundamental research to develop the interface structure around the grains and to control the layers between two grains, as a prospective media for high-level electronic parameters integrations. We performed the experiments based on nanoBaTiO3 powders with Y additives. All results on dielectric parameters on submicron level are the part of global values the same measured characteristics at the bulk samples. The original idea is to develop
the new computing ways to network electronic parameters in thin layers between the grains on the way to get and to compare the values on the samples. Artificial neural networks are computing tools that map input-output data and could be applied on ceramic electronic parameters. These are developed in the manner signals are processed in biological neural networks. The signals are processed by using elements which represent artificial neurons, which have a
simple function to process input signal, as well as adjustable parameter which has an influence to change output signal. The total network output presents the sum of a large number neurons outputs. This important research idea is to connect analysis results and neural networks. There is a great interest to connect all of these microcapacitances by neural network with the goal to compare the results in the standard bulk samples measurements frame and microelectronics
parameters. The final result of the study was functional relation definition between consolidation parameters, voltage (U), and relative capacitance change, from the level of the bulk sample down to the grains boundaries.
PB  - Taylor & Francis
T2  - Integrated Ferroelectrics
T1  - The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination
VL  - 212
IS  - 1
SP  - 135
EP  - 146
DO  - 10.1080/10584587.2020.1819042
ER  - 

@article{
author = "Mitić, Vojislav V. and Lazović, Goran and Ribar, Srđan and Lu, Chun-An and Radović, Ivana and Stajčić, Aleksandar and Fecht, Hans and Vlahović, Branislav",
year = "2020",
abstract = "This paper is based on fundamental research to develop the interface structure around the grains and to control the layers between two grains, as a prospective media for high-level electronic parameters integrations. We performed the experiments based on nanoBaTiO3 powders with Y additives. All results on dielectric parameters on submicron level are the part of global values the same measured characteristics at the bulk samples. The original idea is to develop
the new computing ways to network electronic parameters in thin layers between the grains on the way to get and to compare the values on the samples. Artificial neural networks are computing tools that map input-output data and could be applied on ceramic electronic parameters. These are developed in the manner signals are processed in biological neural networks. The signals are processed by using elements which represent artificial neurons, which have a
simple function to process input signal, as well as adjustable parameter which has an influence to change output signal. The total network output presents the sum of a large number neurons outputs. This important research idea is to connect analysis results and neural networks. There is a great interest to connect all of these microcapacitances by neural network with the goal to compare the results in the standard bulk samples measurements frame and microelectronics
parameters. The final result of the study was functional relation definition between consolidation parameters, voltage (U), and relative capacitance change, from the level of the bulk sample down to the grains boundaries.",
publisher = "Taylor & Francis",
journal = "Integrated Ferroelectrics",
title = "The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination",
volume = "212",
number = "1",
pages = "135-146",
doi = "10.1080/10584587.2020.1819042"
}

Mitić, V. V., Lazović, G., Ribar, S., Lu, C., Radović, I., Stajčić, A., Fecht, H.,& Vlahović, B.. (2020). The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination. in Integrated Ferroelectrics
Taylor & Francis., 212(1), 135-146.
https://doi.org/10.1080/10584587.2020.1819042

Mitić VV, Lazović G, Ribar S, Lu C, Radović I, Stajčić A, Fecht H, Vlahović B. The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination. in Integrated Ferroelectrics. 2020;212(1):135-146.
doi:10.1080/10584587.2020.1819042 .

Mitić, Vojislav V., Lazović, Goran, Ribar, Srđan, Lu, Chun-An, Radović, Ivana, Stajčić, Aleksandar, Fecht, Hans, Vlahović, Branislav, "The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination" in Integrated Ferroelectrics, 212, no. 1 (2020):135-146,
https://doi.org/10.1080/10584587.2020.1819042 . .

TY  - JOUR
AU  - Radjenovic, Branislav
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Lu, Chun-An
AU  - Radović, Ivana
AU  - Stajčić, Aleksandar
AU  - Novaković, Igor
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4005
AB  - This research is focused on further developing of application and use of graph theory in order to describe relations between grains and to establish control over layers. We used functionalized BaTiO3 nanoparticles coated with Yttrium-based salt. The capacitance change results on super-microstructure levels are the part of the measured values on the bulk samples. The new idea is graph theory application for determination of electronic parameters distribution at the grain boundary and to compare them with the bulk measured values. We present them with vertices in graph, corresponding with grains, connected with edges. Capacitance change with applied voltage was measured on samples sintered in air and nitrogen, up to 100 V. Using graph theory, it has been shown that capacitance change can be successfully calculated on the layers between grains. Within the idea how to get parameters values at microlevel between the grains and pores, mathematical tool can be developed. Besides previously described 1D case, some original calculations for 2D cases were performed in this study, proving successful graph theory use for the calculation of values at nanolevel, leading to a further minituarization in micropackaging.
PB  - World Scientific
T2  - Modern Physics Letters B
T1  - Ceramics, materials, microelectronics and graph theory new frontiers
SP  - 2150159
DO  - 10.1142/S0217984921501591
ER  - 

@article{
author = "Radjenovic, Branislav and Mitić, Vojislav V. and Ribar, Srđan and Lu, Chun-An and Radović, Ivana and Stajčić, Aleksandar and Novaković, Igor and Vlahović, Branislav",
year = "2020",
abstract = "This research is focused on further developing of application and use of graph theory in order to describe relations between grains and to establish control over layers. We used functionalized BaTiO3 nanoparticles coated with Yttrium-based salt. The capacitance change results on super-microstructure levels are the part of the measured values on the bulk samples. The new idea is graph theory application for determination of electronic parameters distribution at the grain boundary and to compare them with the bulk measured values. We present them with vertices in graph, corresponding with grains, connected with edges. Capacitance change with applied voltage was measured on samples sintered in air and nitrogen, up to 100 V. Using graph theory, it has been shown that capacitance change can be successfully calculated on the layers between grains. Within the idea how to get parameters values at microlevel between the grains and pores, mathematical tool can be developed. Besides previously described 1D case, some original calculations for 2D cases were performed in this study, proving successful graph theory use for the calculation of values at nanolevel, leading to a further minituarization in micropackaging.",
publisher = "World Scientific",
journal = "Modern Physics Letters B",
title = "Ceramics, materials, microelectronics and graph theory new frontiers",
pages = "2150159",
doi = "10.1142/S0217984921501591"
}

Radjenovic, B., Mitić, V. V., Ribar, S., Lu, C., Radović, I., Stajčić, A., Novaković, I.,& Vlahović, B.. (2020). Ceramics, materials, microelectronics and graph theory new frontiers. in Modern Physics Letters B
World Scientific., 2150159.
https://doi.org/10.1142/S0217984921501591

Radjenovic B, Mitić VV, Ribar S, Lu C, Radović I, Stajčić A, Novaković I, Vlahović B. Ceramics, materials, microelectronics and graph theory new frontiers. in Modern Physics Letters B. 2020;:2150159.
doi:10.1142/S0217984921501591 .

Radjenovic, Branislav, Mitić, Vojislav V., Ribar, Srđan, Lu, Chun-An, Radović, Ivana, Stajčić, Aleksandar, Novaković, Igor, Vlahović, Branislav, "Ceramics, materials, microelectronics and graph theory new frontiers" in Modern Physics Letters B (2020):2150159,
https://doi.org/10.1142/S0217984921501591 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Randjelović, Branislav M.
AU  - Lu, Chunan
AU  - Radović, Ivana
AU  - Stajčić, Aleksandar
AU  - Novaković, Igor
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4242
AB  - This research is based on the idea to design the interface structure around the grains and thin layers between two grains, as a possible solution for deep microelectronic parameters integrations. The experiments have been based on nano-BaTiO3 powders with Y-based additive. The advanced idea is to create the new observed directions to network microelectronic characteristics in thin films coated around and between the grains on the way to get and compare with global results on the samples. Biomimetic similarities are artificial neural networks which could be original method and tools that we use to map input-output data and could be applied on ceramics microelectronic parameters. This mapping is developed in the manner like signals that are processed in real biological neural networks. These signals are processed by using artificial neurons, which have a simple function to process input signal, as well as adjustable parameter which represents sensitivity to inputs. The integrated network output presents practically the large number of inner neurons outputs sum. This original idea is to connect analysis results and neural networks. It is of the great importance to connect microcapacitances by neural network with the goal to compare the experimental results in the bulk samples measurements and microelectronics parameters. The result of these researches is the study of functional relation definition between consolidation parameters, voltage (U), consolidation sintering temperature and relative capacitance change, from the bulk sample surface down to the coating thin films around the grains.
PB  - World Scientific
T2  - Modern Physics Letters B
T1  - Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage
VL  - 34
IS  - 35
SP  - 2150172
DO  - 10.1142/S0217984921501724
ER  - 

@article{
author = "Mitić, Vojislav V. and Ribar, Srđan and Randjelović, Branislav M. and Lu, Chunan and Radović, Ivana and Stajčić, Aleksandar and Novaković, Igor and Vlahović, Branislav",
year = "2020",
abstract = "This research is based on the idea to design the interface structure around the grains and thin layers between two grains, as a possible solution for deep microelectronic parameters integrations. The experiments have been based on nano-BaTiO3 powders with Y-based additive. The advanced idea is to create the new observed directions to network microelectronic characteristics in thin films coated around and between the grains on the way to get and compare with global results on the samples. Biomimetic similarities are artificial neural networks which could be original method and tools that we use to map input-output data and could be applied on ceramics microelectronic parameters. This mapping is developed in the manner like signals that are processed in real biological neural networks. These signals are processed by using artificial neurons, which have a simple function to process input signal, as well as adjustable parameter which represents sensitivity to inputs. The integrated network output presents practically the large number of inner neurons outputs sum. This original idea is to connect analysis results and neural networks. It is of the great importance to connect microcapacitances by neural network with the goal to compare the experimental results in the bulk samples measurements and microelectronics parameters. The result of these researches is the study of functional relation definition between consolidation parameters, voltage (U), consolidation sintering temperature and relative capacitance change, from the bulk sample surface down to the coating thin films around the grains.",
publisher = "World Scientific",
journal = "Modern Physics Letters B",
title = "Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage",
volume = "34",
number = "35",
pages = "2150172",
doi = "10.1142/S0217984921501724"
}

Mitić, V. V., Ribar, S., Randjelović, B. M., Lu, C., Radović, I., Stajčić, A., Novaković, I.,& Vlahović, B.. (2020). Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage. in Modern Physics Letters B
World Scientific., 34(35), 2150172.
https://doi.org/10.1142/S0217984921501724

Mitić VV, Ribar S, Randjelović BM, Lu C, Radović I, Stajčić A, Novaković I, Vlahović B. Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage. in Modern Physics Letters B. 2020;34(35):2150172.
doi:10.1142/S0217984921501724 .

Mitić, Vojislav V., Ribar, Srđan, Randjelović, Branislav M., Lu, Chunan, Radović, Ivana, Stajčić, Aleksandar, Novaković, Igor, Vlahović, Branislav, "Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage" in Modern Physics Letters B, 34, no. 35 (2020):2150172,
https://doi.org/10.1142/S0217984921501724 . .