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Назва: SELF-ORGANIZED STRUCTURES AND FRACTALITY OF THE NON-CRYSTALLINE MATERIALS As (Ge)-S(Se) SYSTEMS
Автори: Mar'yan, Mykhaylo
Yurkovych, Nataliya
Seben, Vladimir
Ключові слова: synergetics, fractal, self-organiziation, synergetics, fractality, self-organization
Дата публікації: 5-вер-2019
Видавництво: Published: Slovak Physical Society, EQUILIBRIA, s.r.o., Košice
Бібліографічний опис: Marýan, M, Yurkovych, N. & Seben, V. Self-organized structures and fractality of the non-crystalline materials As (Ge)-S (Se) systems. In 24th Conference оf Slovak Physicists Proceedings. Published: Slovak Physical Society, EQUILIBRIA, s.r.o., Košice, 2019. P. 89-90 ISBN 978-80-89855-10-0
Короткий огляд (реферат): In this article research of fractality and processes of structuring non-crystalline materials As (Ge)-S (Se) systems are presented. The peculiarities of structure and properties of non-crystalline solids, their interrelation with methods of obtaining are analyzed. Existing model approaches to describing the structure of non-crystalline solids and the transition to a non-crystalline state consider either individual characteristic time scales of their formation, or a separate group of properties and features of the structure. With significant deviations of the system from equilibrium synergetic effects and the mechanism of transformation of energy and information play a decisive role. The integrity of the formation of a non-crystalline state can be taken into account with the use of a synergetic approach within the framework of the theory of self-organized structures that makes it possible to determine the mode of formation in conjunction with the conditions of obtaining. The dependence of the lifetime and the period of self-organized structures on the cooling velocity are studied. In particular, for non-crystalline materials systems As-S(Se) period Å and correlates with the micro-, nanosized of the middle order. The nature of the bifurcation process of transition to a non-crystalline state in the framework of the theory of neural networks with Hebb and Kohenen algorithms also is revealed.
Опис: 24th Conference of Slovak Physicists. Zhilina, September 2-5, 2019 (Slovakia)
Тип: Text
Тип публікації: Стаття
URI (Уніфікований ідентифікатор ресурсу): https://dspace.uzhnu.edu.ua/jspui/handle/lib/50662
ISBN: 978-80-89855-10-0
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