TY  - CONF
AU  - Radović, Ivana
AU  - Mitić, Vojislav V.
AU  - Stajčić, Aleksandar
AU  - Serpa, Cristina
AU  - Ribar, Srđan
AU  - Ranđelović, Branislav
AU  - Vlahović, Branislav
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4899
AB  - Polymers offer the possibility of different reinforcement incorporation due to a broad range of
chemical structures.Along with this feature, their light weight and processing ease made them
a class of materials that have been applied in construction parts, drug delivery agents or
electronic devices. Epoxy-based composites have used as insulators in microelectronic
devices due to its chemical resistance, good adhesion properties and endurance. As epoxies
have low fracture resistance, they are often reinforced with different kinds of fibers.With
thorough knowledge of the structure, physical properties can be predicted and included in the
processing of future composites, especially that electronic materials minituarization brought
micro- and nanoscale level properties at spotlight. Fractal nature analysis is a mathematical
method that has proved to be efficient in grain interface properties applied on perovskite
ceramic materials.In our study, fiber shape reconstruction and determination of Hausdorff
dimension have been achieved with the application of fractal regression model employed in
software Fractal Real Finder opening a new path for the prediction of reinforcement shape
and size, all with the aim of processing composite materials with desired properties.
PB  - Belgrade : Serbian Chemical Society
C3  - Program and the Book of abstracts / Serbian Ceramic Society Conference Advanced Ceramics and Application IX : New Frontiers in Multifunctional Material Science and Processing
T1  - Fractal reconstruction of fiber-reinforced polymer composites
SP  - 49
EP  - 49
UR  - https://hdl.handle.net/21.15107/rcub_dais_12361
ER  - 

@conference{
author = "Radović, Ivana and Mitić, Vojislav V. and Stajčić, Aleksandar and Serpa, Cristina and Ribar, Srđan and Ranđelović, Branislav and Vlahović, Branislav",
year = "2021",
abstract = "Polymers offer the possibility of different reinforcement incorporation due to a broad range of
chemical structures.Along with this feature, their light weight and processing ease made them
a class of materials that have been applied in construction parts, drug delivery agents or
electronic devices. Epoxy-based composites have used as insulators in microelectronic
devices due to its chemical resistance, good adhesion properties and endurance. As epoxies
have low fracture resistance, they are often reinforced with different kinds of fibers.With
thorough knowledge of the structure, physical properties can be predicted and included in the
processing of future composites, especially that electronic materials minituarization brought
micro- and nanoscale level properties at spotlight. Fractal nature analysis is a mathematical
method that has proved to be efficient in grain interface properties applied on perovskite
ceramic materials.In our study, fiber shape reconstruction and determination of Hausdorff
dimension have been achieved with the application of fractal regression model employed in
software Fractal Real Finder opening a new path for the prediction of reinforcement shape
and size, all with the aim of processing composite materials with desired properties.",
publisher = "Belgrade : Serbian Chemical Society",
journal = "Program and the Book of abstracts / Serbian Ceramic Society Conference Advanced Ceramics and Application IX : New Frontiers in Multifunctional Material Science and Processing",
title = "Fractal reconstruction of fiber-reinforced polymer composites",
pages = "49-49",
url = "https://hdl.handle.net/21.15107/rcub_dais_12361"
}

Radović, I., Mitić, V. V., Stajčić, A., Serpa, C., Ribar, S., Ranđelović, B.,& Vlahović, B.. (2021). Fractal reconstruction of fiber-reinforced polymer composites. in Program and the Book of abstracts / Serbian Ceramic Society Conference Advanced Ceramics and Application IX : New Frontiers in Multifunctional Material Science and Processing
Belgrade : Serbian Chemical Society., 49-49.
https://hdl.handle.net/21.15107/rcub_dais_12361

Radović I, Mitić VV, Stajčić A, Serpa C, Ribar S, Ranđelović B, Vlahović B. Fractal reconstruction of fiber-reinforced polymer composites. in Program and the Book of abstracts / Serbian Ceramic Society Conference Advanced Ceramics and Application IX : New Frontiers in Multifunctional Material Science and Processing. 2021;:49-49.
https://hdl.handle.net/21.15107/rcub_dais_12361 .

Radović, Ivana, Mitić, Vojislav V., Stajčić, Aleksandar, Serpa, Cristina, Ribar, Srđan, Ranđelović, Branislav, Vlahović, Branislav, "Fractal reconstruction of fiber-reinforced polymer composites" in Program and the Book of abstracts / Serbian Ceramic Society Conference Advanced Ceramics and Application IX : New Frontiers in Multifunctional Material Science and Processing (2021):49-49,
https://hdl.handle.net/21.15107/rcub_dais_12361 .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ranđelović, Branislav
AU  - Ilić, Ivana
AU  - Ribar, Srđan
AU  - Chun, An-Lu
AU  - Stajčić, Aleksandar
AU  - Vlahović, Branislav
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4809
AB  - After pioneering attempts for the introduction of graph theory in the field of ceramics and microstructures, where 1D and 2D graphs were used, in this paper we applied 3D graphs for the breakdown voltage calculation in BaTiO3sample with some predefined constraints. We have described the relations between grains in the sample and established a mathematical approach for the calculation of breakdown voltage using experimental results. As a result, we introduced mapping between the property of sample and grain structure, then between the grain structure and mathematical graph, using various crystal structures. The main idea was to apply 3D graph theory for the distribution of electronic parameters between the neighboring grains. With this study, we successfully confirmed the possibilities for applications of graphs as a tool for the determination of properties even at the intergranular level.
PB  - World Scientific Publishing Co
T2  - International Journal of Modern Physics B
T1  - The 3D graph approach for breakdown voltage calculation in BaTiO3ceramics
VL  - 35
IS  - 7
SP  - 2150103
DO  - 10.1142/S0217979221501034
ER  - 

@article{
author = "Mitić, Vojislav V. and Ranđelović, Branislav and Ilić, Ivana and Ribar, Srđan and Chun, An-Lu and Stajčić, Aleksandar and Vlahović, Branislav",
year = "2021",
abstract = "After pioneering attempts for the introduction of graph theory in the field of ceramics and microstructures, where 1D and 2D graphs were used, in this paper we applied 3D graphs for the breakdown voltage calculation in BaTiO3sample with some predefined constraints. We have described the relations between grains in the sample and established a mathematical approach for the calculation of breakdown voltage using experimental results. As a result, we introduced mapping between the property of sample and grain structure, then between the grain structure and mathematical graph, using various crystal structures. The main idea was to apply 3D graph theory for the distribution of electronic parameters between the neighboring grains. With this study, we successfully confirmed the possibilities for applications of graphs as a tool for the determination of properties even at the intergranular level.",
publisher = "World Scientific Publishing Co",
journal = "International Journal of Modern Physics B",
title = "The 3D graph approach for breakdown voltage calculation in BaTiO3ceramics",
volume = "35",
number = "7",
pages = "2150103",
doi = "10.1142/S0217979221501034"
}

Mitić, V. V., Ranđelović, B., Ilić, I., Ribar, S., Chun, A., Stajčić, A.,& Vlahović, B.. (2021). The 3D graph approach for breakdown voltage calculation in BaTiO3ceramics. in International Journal of Modern Physics B
World Scientific Publishing Co., 35(7), 2150103.
https://doi.org/10.1142/S0217979221501034

Mitić VV, Ranđelović B, Ilić I, Ribar S, Chun A, Stajčić A, Vlahović B. The 3D graph approach for breakdown voltage calculation in BaTiO3ceramics. in International Journal of Modern Physics B. 2021;35(7):2150103.
doi:10.1142/S0217979221501034 .

Mitić, Vojislav V., Ranđelović, Branislav, Ilić, Ivana, Ribar, Srđan, Chun, An-Lu, Stajčić, Aleksandar, Vlahović, Branislav, "The 3D graph approach for breakdown voltage calculation in BaTiO3ceramics" in International Journal of Modern Physics B, 35, no. 7 (2021):2150103,
https://doi.org/10.1142/S0217979221501034 . .

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 . .