| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Advances in Dielectric Materials and Electronic Devices
|
| Presentation Title |
Investigation of Intergranular Dielectric Properties within the Relation between Fractal, Graph and Neural Networks Theories |
| Author(s) |
Vojislav V. Mitic, Goran Lazovic, Chun-An Lu, Ivana Radovic, Vesna Paunovic, Aleksandar Stajcic, Branislav Randjelovic, Srdjan Ribar, Branislav Vlahovic |
| On-Site Speaker (Planned) |
Vojislav V. Mitic |
| Abstract Scope |
This research has been focused on Yttrium salt modified nanoparticles BaTiO3, sintered at 1350 ˚C. Grain boundary investigations and the influence on dielectric properties were performed from different perspectives and scientific fields. Fractal corrections based on surface (αs) and pore size (αp) corrections, resulted in the relation between the capacitance and Curie temperature, which was important for future miniaturization of electronic devices. Second approach was to develop artificial neural networks for electronic parameters between the grains, giving relation between voltage and relative capacitance change, from the level of the bulk sample down to the grains boundaries. Finally, the third approach included employment of graph theory for networking of electronic parameters between the neighboring grains, which led to a calculation of capacitance change between grains. Downsizing the bulk results to an intergranular level showed that named three approaches open the new perspectives in the future research of miniaturization. |