TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Lazović, Goran
AU  - Lu, Chun-An
AU  - Paunović, Vesna
AU  - Radović, Ivana M.
AU  - Stajčić, Aleksandar
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9010
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 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 (αs) and pore size (αp) 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. © 2020 by the authors.
T2  - Applied Sciences
T1  - The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers
VL  - 10
IS  - 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 M. 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 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 (αs) and pore size (αp) 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. © 2020 by the authors.",
journal = "Applied Sciences",
title = "The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers",
volume = "10",
number = "10",
pages = "3485",
doi = "10.3390/app10103485"
}

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

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

Mitić, Vojislav V., Lazović, Goran, Lu, Chun-An, Paunović, Vesna, Radović, Ivana M., Stajčić, Aleksandar, Vlahović, Branislav, "The Nano-Scale Modified BaTiO3 Morphology Influence on Electronic Properties and Ceramics Fractal Nature Frontiers" in Applied Sciences, 10, no. 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 M.
AU  - Stajčić, Aleksandar
AU  - Fecht, Hans
AU  - Vlahović, Branislav
PY  - 2020
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/9728
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.
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 M. 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 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.",
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. M., Stajčić, A., Fecht, H.,& Vlahović, B.. (2020). The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination. in Integrated Ferroelectrics, 212(1), 135-146.
https://doi.org/10.1080/10584587.2020.1819042

Mitić VV, Lazović G, Ribar S, Lu C, Radović IM, 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 M., 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 . .