Fecht, Hans

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orcid::0000-0002-2917-0631
  • Fecht, Hans (2)
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Author's Bibliography

Thermal parameters defined with graph theory approach in synthetized diamonds

Mitić, Vojislav V.; Ranđelović, Branislav M.; Ribar, Srđan; Čebela, Maria; Mohr, Markus; Vlahović, Branislav; Fecht, Hans

(2022)

TY  - JOUR
AU  - Mitić, Vojislav V.
AU  - Ranđelović, Branislav M.
AU  - Ribar, Srđan
AU  - Čebela, Maria
AU  - Mohr, Markus
AU  - Vlahović, Branislav
AU  - Fecht, Hans
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10305
AB  - The Nanocrystaline diamonds are very important biomedical material with variety of applications. The experimental procedures and results have been done in the Institute of Functional Nanosystems at the University Ulm, Germany. There is an existing biocompatibility of the diamond layers, selectively improved by biomimetic 3-D patterns structuring. Based on that, we have been inspired to apply the graph theory approach in analysing and defining the physical parameters within the structure of materials structure samples. Instead the parameters values, characteristic at the samples surface, we penetrate the graphs deeply in the bulk structure. These values could be only, with some probability, distributed through the micro-structure what defines not enough precious parameters values between the micro-structure constituents, grains and pores. So, we originally applied the graph theory to get defined the physical parameters at the grains and pores levels. This novelty, in our paper, we applied for thermophysical parameters, like thermoconductiviy. By graph approach we open new frontiers in controlling and defining the processes at micro-structure relations. In this way, we can easily predict and design the structure with proposed parameters.
T2  - Thermal Science
T1  - Thermal parameters defined with graph theory approach in synthetized diamonds
VL  - 26
IS  - 3 Part A
SP  - 2177
EP  - 2186
DO  - 10.2298/TSCI210422284M
ER  - 
@article{
author = "Mitić, Vojislav V. and Ranđelović, Branislav M. and Ribar, Srđan and Čebela, Maria and Mohr, Markus and Vlahović, Branislav and Fecht, Hans",
year = "2022",
abstract = "The Nanocrystaline diamonds are very important biomedical material with variety of applications. The experimental procedures and results have been done in the Institute of Functional Nanosystems at the University Ulm, Germany. There is an existing biocompatibility of the diamond layers, selectively improved by biomimetic 3-D patterns structuring. Based on that, we have been inspired to apply the graph theory approach in analysing and defining the physical parameters within the structure of materials structure samples. Instead the parameters values, characteristic at the samples surface, we penetrate the graphs deeply in the bulk structure. These values could be only, with some probability, distributed through the micro-structure what defines not enough precious parameters values between the micro-structure constituents, grains and pores. So, we originally applied the graph theory to get defined the physical parameters at the grains and pores levels. This novelty, in our paper, we applied for thermophysical parameters, like thermoconductiviy. By graph approach we open new frontiers in controlling and defining the processes at micro-structure relations. In this way, we can easily predict and design the structure with proposed parameters.",
journal = "Thermal Science",
title = "Thermal parameters defined with graph theory approach in synthetized diamonds",
volume = "26",
number = "3 Part A",
pages = "2177-2186",
doi = "10.2298/TSCI210422284M"
}
Mitić, V. V., Ranđelović, B. M., Ribar, S., Čebela, M., Mohr, M., Vlahović, B.,& Fecht, H.. (2022). Thermal parameters defined with graph theory approach in synthetized diamonds. in Thermal Science, 26(3 Part A), 2177-2186.
https://doi.org/10.2298/TSCI210422284M
Mitić VV, Ranđelović BM, Ribar S, Čebela M, Mohr M, Vlahović B, Fecht H. Thermal parameters defined with graph theory approach in synthetized diamonds. in Thermal Science. 2022;26(3 Part A):2177-2186.
doi:10.2298/TSCI210422284M .
Mitić, Vojislav V., Ranđelović, Branislav M., Ribar, Srđan, Čebela, Maria, Mohr, Markus, Vlahović, Branislav, Fecht, Hans, "Thermal parameters defined with graph theory approach in synthetized diamonds" in Thermal Science, 26, no. 3 Part A (2022):2177-2186,
https://doi.org/10.2298/TSCI210422284M . .
1

The Artificial Neural Networks Applied for Microelectronics Intergranular Relations Determination

Mitić, Vojislav V.; Lazović, Goran; Ribar, Srđan; Lu, Chun-An; Radović, Ivana M.; Stajčić, Aleksandar; Fecht, Hans; Vlahović, Branislav

(2020)

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 . .
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