TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ribar, Srđan
AU  - Randjelović, Branislav M.
AU  - Aleksić, Dejan
AU  - Fecht, Hans
AU  - Vlahović, Branislav
PY  - 2022
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3791
AB  - The materials' consolidation, especially ceramics, is very important in advanced research development and industrial technologies. Science of sintering with all incoming novelties is the base of all these processes. A very important question in all of this is how to get the more precise structure parameters within the morphology of different ceramic materials. In that sense, the advanced procedure in collecting precise data in submicro-processes is also in direction of advanced miniaturization. Our research, based on different electro-physical parameters, like relative capacitance, breakdown voltage, and tg delta, has been used in neural networks and graph theory successful applications. We extended furthermore our neural network back propagation (BP) on sintering parameters' data. Prognosed mapping we can succeed if we use the coefficients, implemented by the training procedure. In this paper, we continue to apply the novelty from the previous research, where the error is calculated as a difference between the designed and actual network output. So, the weight coefficients contribute in error generation. We used the experimental data of sintered materials' density, measured and calculated in the bulk, and developed possibility to calculate the materials' density inside of consolidated structures. The BP procedure here is like a tool to come down between the layers, with much more precise materials' density, in the points on morphology, which are interesting for different microstructure developments and applications. We practically replaced the errors' network by density values, from ceramic consolidation. Our neural networks' application novelty is successfully applied within the experimental ceramic material density rho = 5.4 x 10(3) [kg/m(3)], confirming the direction way to implement this procedure in other density cases. There are many different mathematical tools or tools from the field of artificial intelligence that can be used in such or similar applications. We choose to use artificial neural networks because of their simplicity and their self-improvement process, through BP error control. All of this contributes to the great improvement in the whole research and science of sintering technology, which is important for collecting more efficient and faster results.
PB  - World Scientific Publ Co Pte Ltd, Singapore
T2  - Modern Physics Letters B
T1  - A new neural network approach to density calculation on ceramic materials
IS  - 02
VL  - 36
DO  - 10.1142/S0217984921505497
ER  - 

@article{
author = "Mitić, Vojislav V. and Ribar, Srđan and Randjelović, Branislav M. and Aleksić, Dejan and Fecht, Hans and Vlahović, Branislav",
year = "2022",
abstract = "The materials' consolidation, especially ceramics, is very important in advanced research development and industrial technologies. Science of sintering with all incoming novelties is the base of all these processes. A very important question in all of this is how to get the more precise structure parameters within the morphology of different ceramic materials. In that sense, the advanced procedure in collecting precise data in submicro-processes is also in direction of advanced miniaturization. Our research, based on different electro-physical parameters, like relative capacitance, breakdown voltage, and tg delta, has been used in neural networks and graph theory successful applications. We extended furthermore our neural network back propagation (BP) on sintering parameters' data. Prognosed mapping we can succeed if we use the coefficients, implemented by the training procedure. In this paper, we continue to apply the novelty from the previous research, where the error is calculated as a difference between the designed and actual network output. So, the weight coefficients contribute in error generation. We used the experimental data of sintered materials' density, measured and calculated in the bulk, and developed possibility to calculate the materials' density inside of consolidated structures. The BP procedure here is like a tool to come down between the layers, with much more precise materials' density, in the points on morphology, which are interesting for different microstructure developments and applications. We practically replaced the errors' network by density values, from ceramic consolidation. Our neural networks' application novelty is successfully applied within the experimental ceramic material density rho = 5.4 x 10(3) [kg/m(3)], confirming the direction way to implement this procedure in other density cases. There are many different mathematical tools or tools from the field of artificial intelligence that can be used in such or similar applications. We choose to use artificial neural networks because of their simplicity and their self-improvement process, through BP error control. All of this contributes to the great improvement in the whole research and science of sintering technology, which is important for collecting more efficient and faster results.",
publisher = "World Scientific Publ Co Pte Ltd, Singapore",
journal = "Modern Physics Letters B",
title = "A new neural network approach to density calculation on ceramic materials",
number = "02",
volume = "36",
doi = "10.1142/S0217984921505497"
}

Mitić, V. V., Ribar, S., Randjelović, B. M., Aleksić, D., Fecht, H.,& Vlahović, B.. (2022). A new neural network approach to density calculation on ceramic materials. in Modern Physics Letters B
World Scientific Publ Co Pte Ltd, Singapore., 36(02).
https://doi.org/10.1142/S0217984921505497

Mitić VV, Ribar S, Randjelović BM, Aleksić D, Fecht H, Vlahović B. A new neural network approach to density calculation on ceramic materials. in Modern Physics Letters B. 2022;36(02).
doi:10.1142/S0217984921505497 .

Mitić, Vojislav V., Ribar, Srđan, Randjelović, Branislav M., Aleksić, Dejan, Fecht, Hans, Vlahović, Branislav, "A new neural network approach to density calculation on ceramic materials" in Modern Physics Letters B, 36, no. 02 (2022),
https://doi.org/10.1142/S0217984921505497 . .

TY  - JOUR
AU  - Veljković, Sandra
AU  - Mitić, Vojislav V.
AU  - Paunović, Vesna
AU  - Lazović, Goran
AU  - Mohr, Markus
AU  - Fecht, Hans
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3456
AB  - There is a progressing interests for polycrystalline diamonds and they have been more extensively used recently. This area has been intensively researched due to the outstanding potential of this material, and this necessitated presenting some of the latest application related to engineering in this paper. A better insight of polycrystalline diamonds properties can be achieved by intensively researching the surface structure. Samples of nanocrystalline diamonds grown by the chemical vapor deposition method are analyzed and accordingly, the focus of the research was the surface parameters and their structure. It is observed that waviness and texture are unique for any direction, their values are almost the same for the chosen directions and they vary approximately from -0.2 nm to 0.4 nm. Analyses of the parameters allowed a more detailed insight into the morphology of the surfaces of polycrystalline films.
PB  - Univerzitet u Kragujevcu - Fakultet tehničkih nauka, Čačak
T2  - Serbian Journal of Electrical Engineering
T1  - Analyses of the surface parameters in polycrystalline diamonds
EP  - 129
IS  - 1
SP  - 111
VL  - 17
DO  - 10.2298/SJEE2001111V
ER  - 

@article{
author = "Veljković, Sandra and Mitić, Vojislav V. and Paunović, Vesna and Lazović, Goran and Mohr, Markus and Fecht, Hans",
year = "2020",
abstract = "There is a progressing interests for polycrystalline diamonds and they have been more extensively used recently. This area has been intensively researched due to the outstanding potential of this material, and this necessitated presenting some of the latest application related to engineering in this paper. A better insight of polycrystalline diamonds properties can be achieved by intensively researching the surface structure. Samples of nanocrystalline diamonds grown by the chemical vapor deposition method are analyzed and accordingly, the focus of the research was the surface parameters and their structure. It is observed that waviness and texture are unique for any direction, their values are almost the same for the chosen directions and they vary approximately from -0.2 nm to 0.4 nm. Analyses of the parameters allowed a more detailed insight into the morphology of the surfaces of polycrystalline films.",
publisher = "Univerzitet u Kragujevcu - Fakultet tehničkih nauka, Čačak",
journal = "Serbian Journal of Electrical Engineering",
title = "Analyses of the surface parameters in polycrystalline diamonds",
pages = "129-111",
number = "1",
volume = "17",
doi = "10.2298/SJEE2001111V"
}

Veljković, S., Mitić, V. V., Paunović, V., Lazović, G., Mohr, M.,& Fecht, H.. (2020). Analyses of the surface parameters in polycrystalline diamonds. in Serbian Journal of Electrical Engineering
Univerzitet u Kragujevcu - Fakultet tehničkih nauka, Čačak., 17(1), 111-129.
https://doi.org/10.2298/SJEE2001111V

Veljković S, Mitić VV, Paunović V, Lazović G, Mohr M, Fecht H. Analyses of the surface parameters in polycrystalline diamonds. in Serbian Journal of Electrical Engineering. 2020;17(1):111-129.
doi:10.2298/SJEE2001111V .

Veljković, Sandra, Mitić, Vojislav V., Paunović, Vesna, Lazović, Goran, Mohr, Markus, Fecht, Hans, "Analyses of the surface parameters in polycrystalline diamonds" in Serbian Journal of Electrical Engineering, 17, no. 1 (2020):111-129,
https://doi.org/10.2298/SJEE2001111V . .

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  - Mirjanić, Dragoljub
AU  - Fecht, Hans
AU  - Vlahović, Branislav
AU  - Arnold, Walter
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3408
AB  - Today in the age of advanced ceramic civilization, there are a variety of applications for modern ceramics materials with specific properties. Our up-to date research recognizes that ceramics have a fractal configuration nature on the basis of different phenomena. The key property of fractals is their scale-independence. The practical value is that the fractal objects' interaction and energy is possible at any reasonable scale of magnitude, including the nanoscale and may be even below. This is a consequence of fractal scale independence. This brings us to the conclusion that properties of fractals are valid on any scale (macro, micro, or nano). We also analyzed these questions with experimental results obtained from a comet, here 67P, and also from ceramic grain and pore morphologies on the microstructure level. Fractality, as a scale-independent morphology, provides significant variety of opportunities, for example for energy storage. From the viewpoint of scaling, the relation between large and small in fractal analysis is very important. An ideal fractal can be magnified endlessly but natural morphologies cannot, what is the new light in materials sciences and space.
PB  - World Scientific Publ Co Pte Ltd, Singapore
T2  - Modern Physics Letters B
T1  - The fractal nature as new frontier in microstructural characterization and relativization of scale sizes within space
IS  - 22
VL  - 34
DO  - 10.1142/S0217984920504217
ER  - 

@article{
author = "Mitić, Vojislav V. and Lazović, Goran and Mirjanić, Dragoljub and Fecht, Hans and Vlahović, Branislav and Arnold, Walter",
year = "2020",
abstract = "Today in the age of advanced ceramic civilization, there are a variety of applications for modern ceramics materials with specific properties. Our up-to date research recognizes that ceramics have a fractal configuration nature on the basis of different phenomena. The key property of fractals is their scale-independence. The practical value is that the fractal objects' interaction and energy is possible at any reasonable scale of magnitude, including the nanoscale and may be even below. This is a consequence of fractal scale independence. This brings us to the conclusion that properties of fractals are valid on any scale (macro, micro, or nano). We also analyzed these questions with experimental results obtained from a comet, here 67P, and also from ceramic grain and pore morphologies on the microstructure level. Fractality, as a scale-independent morphology, provides significant variety of opportunities, for example for energy storage. From the viewpoint of scaling, the relation between large and small in fractal analysis is very important. An ideal fractal can be magnified endlessly but natural morphologies cannot, what is the new light in materials sciences and space.",
publisher = "World Scientific Publ Co Pte Ltd, Singapore",
journal = "Modern Physics Letters B",
title = "The fractal nature as new frontier in microstructural characterization and relativization of scale sizes within space",
number = "22",
volume = "34",
doi = "10.1142/S0217984920504217"
}

Mitić, V. V., Lazović, G., Mirjanić, D., Fecht, H., Vlahović, B.,& Arnold, W.. (2020). The fractal nature as new frontier in microstructural characterization and relativization of scale sizes within space. in Modern Physics Letters B
World Scientific Publ Co Pte Ltd, Singapore., 34(22).
https://doi.org/10.1142/S0217984920504217

Mitić VV, Lazović G, Mirjanić D, Fecht H, Vlahović B, Arnold W. The fractal nature as new frontier in microstructural characterization and relativization of scale sizes within space. in Modern Physics Letters B. 2020;34(22).
doi:10.1142/S0217984920504217 .

Mitić, Vojislav V., Lazović, Goran, Mirjanić, Dragoljub, Fecht, Hans, Vlahović, Branislav, Arnold, Walter, "The fractal nature as new frontier in microstructural characterization and relativization of scale sizes within space" in Modern Physics Letters B, 34, no. 22 (2020),
https://doi.org/10.1142/S0217984920504217 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Lazović, Goran
AU  - Paunović, Vesna
AU  - Veljković, Sandra
AU  - Randjelović, Branislav M.
AU  - Vlahović, Branislav
AU  - Fecht, Hans
PY  - 2019
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/3136
AB  - Consolidation parameters have influence and can be used to control structure of BaTiO3 based materials. Microstructure and dielectric properties of Yb2O3 doped BaTiO3-ceramics, sintered from 1320 degrees C to 1380 degrees C have been investigated. The correlation between microstructure, capacity and dielectric properties of doped BaTiO3-ceramics, based on fractal geometry and micro-contact surfaces, has been developed. Using the fractal descriptors of the grains contact surface, the microstructure reconstruction constituents, as grains and pores shapes or intergranular contacts, has been successfully done. Obtained results indicated that fractal analysis contact surfaces descriptors of different shapes are very important for the prognosis of BaTiO3-ceramics microstructure and capacity and dielectric properties. The morphology of ceramics grains pointed out the validity of developing new structure analytical methods, based on different grains' shape geometries. The grains contact structure based on Minkowski hull is presented as a new tool for BaTiO3-ceramics materials structure research. The materials properties prognosis are determined according to the correlations synthesis-structure-property, within Minkowski hull fractal frame.
PB  - Taylor & Francis Ltd, Abingdon
T2  - Ferroelectrics
T1  - Electronic ceramics fractal microstructure analysis-Minkowski Hull and grain boundaries
EP  - 194
IS  - 1
SP  - 184
VL  - 545
DO  - 10.1080/00150193.2019.1621704
ER  - 

@article{
author = "Mitić, Vojislav V. and Lazović, Goran and Paunović, Vesna and Veljković, Sandra and Randjelović, Branislav M. and Vlahović, Branislav and Fecht, Hans",
year = "2019",
abstract = "Consolidation parameters have influence and can be used to control structure of BaTiO3 based materials. Microstructure and dielectric properties of Yb2O3 doped BaTiO3-ceramics, sintered from 1320 degrees C to 1380 degrees C have been investigated. The correlation between microstructure, capacity and dielectric properties of doped BaTiO3-ceramics, based on fractal geometry and micro-contact surfaces, has been developed. Using the fractal descriptors of the grains contact surface, the microstructure reconstruction constituents, as grains and pores shapes or intergranular contacts, has been successfully done. Obtained results indicated that fractal analysis contact surfaces descriptors of different shapes are very important for the prognosis of BaTiO3-ceramics microstructure and capacity and dielectric properties. The morphology of ceramics grains pointed out the validity of developing new structure analytical methods, based on different grains' shape geometries. The grains contact structure based on Minkowski hull is presented as a new tool for BaTiO3-ceramics materials structure research. The materials properties prognosis are determined according to the correlations synthesis-structure-property, within Minkowski hull fractal frame.",
publisher = "Taylor & Francis Ltd, Abingdon",
journal = "Ferroelectrics",
title = "Electronic ceramics fractal microstructure analysis-Minkowski Hull and grain boundaries",
pages = "194-184",
number = "1",
volume = "545",
doi = "10.1080/00150193.2019.1621704"
}

Mitić, V. V., Lazović, G., Paunović, V., Veljković, S., Randjelović, B. M., Vlahović, B.,& Fecht, H.. (2019). Electronic ceramics fractal microstructure analysis-Minkowski Hull and grain boundaries. in Ferroelectrics
Taylor & Francis Ltd, Abingdon., 545(1), 184-194.
https://doi.org/10.1080/00150193.2019.1621704

Mitić VV, Lazović G, Paunović V, Veljković S, Randjelović BM, Vlahović B, Fecht H. Electronic ceramics fractal microstructure analysis-Minkowski Hull and grain boundaries. in Ferroelectrics. 2019;545(1):184-194.
doi:10.1080/00150193.2019.1621704 .

Mitić, Vojislav V., Lazović, Goran, Paunović, Vesna, Veljković, Sandra, Randjelović, Branislav M., Vlahović, Branislav, Fecht, Hans, "Electronic ceramics fractal microstructure analysis-Minkowski Hull and grain boundaries" in Ferroelectrics, 545, no. 1 (2019):184-194,
https://doi.org/10.1080/00150193.2019.1621704 . .

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Paunović, Vesna
AU  - Lazović, Goran
AU  - Kocić, Ljubiša
AU  - Fecht, Hans
PY  - 2018
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2806
AB  - BaTiO3-ceramics is a porous material made out of grains and pores. Such a structure is best explained by fractal nature approach. There is a strong porosity influence on microelectronic properties, so a pore itself acts as a microcapacitor with traces of inductivity. A cluster of pores than makes an integral impedance with an equivalent circuit scheme. Fractal nature theory approach helps modeling such microimpedance. The experimental data are acquired using SEM micro-graphs of the selected specimens. Further method is based on fractal analytic procedures based on extraction of fractal dimension and involving this as a key parameter. Such an approach, in combination with methods developed by the authors completes the extensive method for determination of relationship between microelectronic properties of sintered barium-titanate ceramics and technological parameters used in the sintering process. The issue of additives is also considered due the fact that dopants have considerable influence on electronic characteristics. Fractal analyzes and fractal dimension materials characterization are very important as a new tool with in the materials, electronic ceramics, and concretely ferroelectric applications. In this paper we applied fractal Cantor set and also developed fractal curvature tensor product. This enlighten new frontiers in electroceramics materials surface characterization.
PB  - Taylor & Francis Ltd, Abingdon
T2  - Ferroelectrics
T1  - Fractal dimension of fractals tensor product ferroelectric ceramic materials frontiers
EP  - 119
IS  - 1
SP  - 114
VL  - 535
DO  - 10.1080/00150193.2018.1474653
ER  - 

@article{
author = "Mitić, Vojislav V. and Paunović, Vesna and Lazović, Goran and Kocić, Ljubiša and Fecht, Hans",
year = "2018",
abstract = "BaTiO3-ceramics is a porous material made out of grains and pores. Such a structure is best explained by fractal nature approach. There is a strong porosity influence on microelectronic properties, so a pore itself acts as a microcapacitor with traces of inductivity. A cluster of pores than makes an integral impedance with an equivalent circuit scheme. Fractal nature theory approach helps modeling such microimpedance. The experimental data are acquired using SEM micro-graphs of the selected specimens. Further method is based on fractal analytic procedures based on extraction of fractal dimension and involving this as a key parameter. Such an approach, in combination with methods developed by the authors completes the extensive method for determination of relationship between microelectronic properties of sintered barium-titanate ceramics and technological parameters used in the sintering process. The issue of additives is also considered due the fact that dopants have considerable influence on electronic characteristics. Fractal analyzes and fractal dimension materials characterization are very important as a new tool with in the materials, electronic ceramics, and concretely ferroelectric applications. In this paper we applied fractal Cantor set and also developed fractal curvature tensor product. This enlighten new frontiers in electroceramics materials surface characterization.",
publisher = "Taylor & Francis Ltd, Abingdon",
journal = "Ferroelectrics",
title = "Fractal dimension of fractals tensor product ferroelectric ceramic materials frontiers",
pages = "119-114",
number = "1",
volume = "535",
doi = "10.1080/00150193.2018.1474653"
}

Mitić, V. V., Paunović, V., Lazović, G., Kocić, L.,& Fecht, H.. (2018). Fractal dimension of fractals tensor product ferroelectric ceramic materials frontiers. in Ferroelectrics
Taylor & Francis Ltd, Abingdon., 535(1), 114-119.
https://doi.org/10.1080/00150193.2018.1474653

Mitić VV, Paunović V, Lazović G, Kocić L, Fecht H. Fractal dimension of fractals tensor product ferroelectric ceramic materials frontiers. in Ferroelectrics. 2018;535(1):114-119.
doi:10.1080/00150193.2018.1474653 .

Mitić, Vojislav V., Paunović, Vesna, Lazović, Goran, Kocić, Ljubiša, Fecht, Hans, "Fractal dimension of fractals tensor product ferroelectric ceramic materials frontiers" in Ferroelectrics, 535, no. 1 (2018):114-119,
https://doi.org/10.1080/00150193.2018.1474653 . .