TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Randjelović, Branislav M.
AU  - Lu, Chun-An
AU  - Hwu, Reuben
AU  - Vlahović, Branislav
AU  - Fecht, Hans J.
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3744
AB  - Artificial neural networks application in science and techonology begun during 20th century. This biophysical and biomimetic phenomena is based on extensive research which have led to understanding how neural as a living organism nerve system basic element processes signals by a simple algorithm. The input signals are massively parallel processed, and the output presents the superposition of all parallel processed signals. Artificial neural networks which are based on these principles are useful for solving various problems as pattern recognition, clustering, functional optimization. This research analyzed thermophysical parameters at samples based on Murata powders and consolidated by sintering process. Among different physical properties we applied out neural network approach on grain sizes distribution as a function of sintering temperature, 7: (from 1190-1370 degrees C). In this paper, we continue to apply neural networks to prognose structural and thermophysical parameters. For consolidation sintering process is very important to prognose and design malty parameters but especially thermal like temperature, to avoid long and even wrong experiments which are wasting the time and materials and energy as well. By this artificial neural networks method we indeed provide the most efficient procedure in projecting the mentioned parameters and provide successful ceramics samples production. This is very helpful in prediction and designing the micro-structure parameters important for advance microelectronic further miniaturization development. This is a quite original novelty for real micro-structure projecting especially on the phenomena within the thin films coating around the grains what opens new prospective in advance fractal microelectronics.
PB  - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
T2  - Thermal Science
T1  - Sintering temperature influence on grains function distribution by neural network application
EP  - 307
IS  - 1
SP  - 299
VL  - 26
DO  - 10.2298/TSCI210420283M
ER  - 

@article{
author = "Mitić, Vojislav V. and Ribar, Srđan and Randjelović, Branislav M. and Lu, Chun-An and Hwu, Reuben and Vlahović, Branislav and Fecht, Hans J.",
year = "2022",
abstract = "Artificial neural networks application in science and techonology begun during 20th century. This biophysical and biomimetic phenomena is based on extensive research which have led to understanding how neural as a living organism nerve system basic element processes signals by a simple algorithm. The input signals are massively parallel processed, and the output presents the superposition of all parallel processed signals. Artificial neural networks which are based on these principles are useful for solving various problems as pattern recognition, clustering, functional optimization. This research analyzed thermophysical parameters at samples based on Murata powders and consolidated by sintering process. Among different physical properties we applied out neural network approach on grain sizes distribution as a function of sintering temperature, 7: (from 1190-1370 degrees C). In this paper, we continue to apply neural networks to prognose structural and thermophysical parameters. For consolidation sintering process is very important to prognose and design malty parameters but especially thermal like temperature, to avoid long and even wrong experiments which are wasting the time and materials and energy as well. By this artificial neural networks method we indeed provide the most efficient procedure in projecting the mentioned parameters and provide successful ceramics samples production. This is very helpful in prediction and designing the micro-structure parameters important for advance microelectronic further miniaturization development. This is a quite original novelty for real micro-structure projecting especially on the phenomena within the thin films coating around the grains what opens new prospective in advance fractal microelectronics.",
publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd",
journal = "Thermal Science",
title = "Sintering temperature influence on grains function distribution by neural network application",
pages = "307-299",
number = "1",
volume = "26",
doi = "10.2298/TSCI210420283M"
}

Mitić, V. V., Ribar, S., Randjelović, B. M., Lu, C., Hwu, R., Vlahović, B.,& Fecht, H. J.. (2022). Sintering temperature influence on grains function distribution by neural network application. in Thermal Science
Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 26(1), 299-307.
https://doi.org/10.2298/TSCI210420283M

Mitić VV, Ribar S, Randjelović BM, Lu C, Hwu R, Vlahović B, Fecht HJ. Sintering temperature influence on grains function distribution by neural network application. in Thermal Science. 2022;26(1):299-307.
doi:10.2298/TSCI210420283M .

Mitić, Vojislav V., Ribar, Srđan, Randjelović, Branislav M., Lu, Chun-An, Hwu, Reuben, Vlahović, Branislav, Fecht, Hans J., "Sintering temperature influence on grains function distribution by neural network application" in Thermal Science, 26, no. 1 (2022):299-307,
https://doi.org/10.2298/TSCI210420283M . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Lazović, Goran
AU  - Lu, Chun-An
AU  - Paunović, Vesna
AU  - Radović, Ivana
AU  - Stajcić, Aleksandar
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3425
AB  - Featured Application The nano BaTiO3 modification could lead towards innovation in nanocoating of ceramic grains in function of submicron intergranular capacitors. The electronic parameters integration in the frame of microelectronics in intergranular phenomena by fractals is opening novel route in miniaturization and integrations. Fractal analysis and calculations provide necessary fractal corrections for sample synthesis. 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 degrees C. Within the study, the new frontiers for different 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 (alpha (s)) and pore size (alpha (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, Basel
T2  - Applied Sciences - Basel
T1  - The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers
IS  - 10
VL  - 10
DO  - 10.3390/app10103485
ER  - 

@article{
author = "Mitić, Vojislav V. and Lazović, Goran and Lu, Chun-An and Paunović, Vesna and Radović, Ivana and Stajcić, Aleksandar and Vlahović, Branislav",
year = "2020",
abstract = "Featured Application The nano BaTiO3 modification could lead towards innovation in nanocoating of ceramic grains in function of submicron intergranular capacitors. The electronic parameters integration in the frame of microelectronics in intergranular phenomena by fractals is opening novel route in miniaturization and integrations. Fractal analysis and calculations provide necessary fractal corrections for sample synthesis. 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 degrees C. Within the study, the new frontiers for different 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 (alpha (s)) and pore size (alpha (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, Basel",
journal = "Applied Sciences - Basel",
title = "The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers",
number = "10",
volume = "10",
doi = "10.3390/app10103485"
}

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

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

Mitić, Vojislav V., Lazović, Goran, Lu, Chun-An, Paunović, Vesna, Radović, Ivana, Stajcić, Aleksandar, Vlahović, Branislav, "The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers" in Applied Sciences - Basel, 10, no. 10 (2020),
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  - Stajcić, Aleksandar
AU  - Fecht, Hans
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3426
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 nano-BaTiO3 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 Ltd, Abingdon
T2  - Integrated Ferroelectrics
T1  - The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination
EP  - 146
IS  - 1
SP  - 135
VL  - 212
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 Stajcić, 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 nano-BaTiO3 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 Ltd, Abingdon",
journal = "Integrated Ferroelectrics",
title = "The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination",
pages = "146-135",
number = "1",
volume = "212",
doi = "10.1080/10584587.2020.1819042"
}

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

Mitić VV, Lazović G, Ribar S, Lu C, Radović I, Stajcić 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, Stajcić, 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  - Mitić, Vojislav V.
AU  - Lazović, Goran
AU  - Milošević, Dušan
AU  - Lu, Chun-An
AU  - Manojlović, Jelena
AU  - Tsay, Shwu-Chen
AU  - Kruchinin, Sergey
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3394
AB  - The main goal of our research is to find the connection between micro particles and microorganisms motion in the Nature, considered as Brownian's Motion within the fractal's nature. For ceramics and generally material science it is important to clarify the particles motion and other phenomena, especially for grains and pores. Our idea is to establish control over the relation order-disorder on particle motion and their collision effects by Brownian motion phenomena in the frame of fractal nature matter. We performed some experiments and got interesting results based on microorganism motion initiated by different outer energetic impulses. This is practically the idea of biomimetic correlation between particles and microorganisms Worlds, what is very original and leads towards biunivocal different phenomena's understanding. Another idea is to establish some controlling effects for electro ceramic particle motion in chemical-materials sciences consolidation by some phenomena in the nature. These important research directions open new frontiers with very specific reflections for future of microelectronics materials.
PB  - World Scientific Publ Co Pte Ltd, Singapore
T2  - Modern Physics Letters B
T1  - Brownian motion and fractal nature
IS  - 19-20
VL  - 34
DO  - 10.1142/S0217984920400618
ER  - 

@article{
author = "Mitić, Vojislav V. and Lazović, Goran and Milošević, Dušan and Lu, Chun-An and Manojlović, Jelena and Tsay, Shwu-Chen and Kruchinin, Sergey and Vlahović, Branislav",
year = "2020",
abstract = "The main goal of our research is to find the connection between micro particles and microorganisms motion in the Nature, considered as Brownian's Motion within the fractal's nature. For ceramics and generally material science it is important to clarify the particles motion and other phenomena, especially for grains and pores. Our idea is to establish control over the relation order-disorder on particle motion and their collision effects by Brownian motion phenomena in the frame of fractal nature matter. We performed some experiments and got interesting results based on microorganism motion initiated by different outer energetic impulses. This is practically the idea of biomimetic correlation between particles and microorganisms Worlds, what is very original and leads towards biunivocal different phenomena's understanding. Another idea is to establish some controlling effects for electro ceramic particle motion in chemical-materials sciences consolidation by some phenomena in the nature. These important research directions open new frontiers with very specific reflections for future of microelectronics materials.",
publisher = "World Scientific Publ Co Pte Ltd, Singapore",
journal = "Modern Physics Letters B",
title = "Brownian motion and fractal nature",
number = "19-20",
volume = "34",
doi = "10.1142/S0217984920400618"
}

Mitić, V. V., Lazović, G., Milošević, D., Lu, C., Manojlović, J., Tsay, S., Kruchinin, S.,& Vlahović, B.. (2020). Brownian motion and fractal nature. in Modern Physics Letters B
World Scientific Publ Co Pte Ltd, Singapore., 34(19-20).
https://doi.org/10.1142/S0217984920400618

Mitić VV, Lazović G, Milošević D, Lu C, Manojlović J, Tsay S, Kruchinin S, Vlahović B. Brownian motion and fractal nature. in Modern Physics Letters B. 2020;34(19-20).
doi:10.1142/S0217984920400618 .

Mitić, Vojislav V., Lazović, Goran, Milošević, Dušan, Lu, Chun-An, Manojlović, Jelena, Tsay, Shwu-Chen, Kruchinin, Sergey, Vlahović, Branislav, "Brownian motion and fractal nature" in Modern Physics Letters B, 34, no. 19-20 (2020),
https://doi.org/10.1142/S0217984920400618 . .

TY  - JOUR
AU  - Randjelović, Branislav M.
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Lu, Chun-An
AU  - Radović, Ivana
AU  - Stajcić, Aleksandar
AU  - Novaković, Igor
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3339
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 Publ Co Pte Ltd, Singapore
T2  - Modern Physics Letters B
T1  - Ceramics, materials, microelectronics and graph theory new frontiers
IS  - 34
VL  - 34
DO  - 10.1142/S0217984921501591
ER  - 

@article{
author = "Randjelović, Branislav M. and Mitić, Vojislav V. and Ribar, Srđan and Lu, Chun-An and Radović, Ivana and Stajcić, 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 Publ Co Pte Ltd, Singapore",
journal = "Modern Physics Letters B",
title = "Ceramics, materials, microelectronics and graph theory new frontiers",
number = "34",
volume = "34",
doi = "10.1142/S0217984921501591"
}

Randjelović, B. M., Mitić, V. V., Ribar, S., Lu, C., Radović, I., Stajcić, A., Novaković, I.,& Vlahović, B.. (2020). Ceramics, materials, microelectronics and graph theory new frontiers. in Modern Physics Letters B
World Scientific Publ Co Pte Ltd, Singapore., 34(34).
https://doi.org/10.1142/S0217984921501591

Randjelović BM, Mitić VV, Ribar S, Lu C, Radović I, Stajcić A, Novaković I, Vlahović B. Ceramics, materials, microelectronics and graph theory new frontiers. in Modern Physics Letters B. 2020;34(34).
doi:10.1142/S0217984921501591 .

Randjelović, Branislav M., Mitić, Vojislav V., Ribar, Srđan, Lu, Chun-An, Radović, Ivana, Stajcić, Aleksandar, Novaković, Igor, Vlahović, Branislav, "Ceramics, materials, microelectronics and graph theory new frontiers" in Modern Physics Letters B, 34, no. 34 (2020),
https://doi.org/10.1142/S0217984921501591 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Randjelović, Branislav M.
AU  - Lu, Chun-An
AU  - Radović, Ivana
AU  - Stajcić, Aleksandar
AU  - Novaković, Igor
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3351
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 Publ Co Pte Ltd, Singapore
T2  - Modern Physics Letters B
T1  - Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage
IS  - 35
VL  - 34
DO  - 10.1142/S0217984921501724
ER  - 

@article{
author = "Mitić, Vojislav V. and Ribar, Srđan and Randjelović, Branislav M. and Lu, Chun-An and Radović, Ivana and Stajcić, 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 Publ Co Pte Ltd, Singapore",
journal = "Modern Physics Letters B",
title = "Neural networks and microelectronics parameters distribution measurements depending on sintering temperature and applied voltage",
number = "35",
volume = "34",
doi = "10.1142/S0217984921501724"
}

Mitić, V. V., Ribar, S., Randjelović, B. M., Lu, C., Radović, I., Stajcić, 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 Publ Co Pte Ltd, Singapore., 34(35).
https://doi.org/10.1142/S0217984921501724

Mitić VV, Ribar S, Randjelović BM, Lu C, Radović I, Stajcić 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).
doi:10.1142/S0217984921501724 .

Mitić, Vojislav V., Ribar, Srđan, Randjelović, Branislav M., Lu, Chun-An, Radović, Ivana, Stajcić, 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),
https://doi.org/10.1142/S0217984921501724 . .