On a combined approach to studying the correlation parameters of self-organizing structures

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

The correlation parameters of self-organizing structures are investigated using a combined approach, a combination of 2D detrended fluctuation analysis and the average-mutual-information method. The self-organizing structures to be investigated are model surfaces with different degrees of ordering (ordered, disordered, and mixed) and amorphous hydrogenated silicon and tetrahedral carbon films. It is demonstrated using test structures that the correlation vectors determined by kinks on the scale dependence of the fluctuation function with the use of the 2D detrended fluctuation analysis coincide with sufficient accuracy with specified periods of surface harmonic components. It is more expedient to study disordered structures using the average-mutual-information method. The physical meaning of maximum mutual information is shown to characterize the information capacity of a system. The combined approach allows the correlation parameters of combined systems to be investigated most comprehensively.

About the authors

A. V. Alpatov

Ryazan State Radio-Engineering University

Author for correspondence.
Email: pgnv@mail.ru
Russian Federation, Ryazan, 390005

S. P. Vikhrov

Ryazan State Radio-Engineering University

Email: pgnv@mail.ru
Russian Federation, Ryazan, 390005

N. V. Vishnyakov

Ryazan State Radio-Engineering University

Email: pgnv@mail.ru
Russian Federation, Ryazan, 390005

S. M. Mursalov

Ryazan State Radio-Engineering University

Email: pgnv@mail.ru
Russian Federation, Ryazan, 390005

N. B. Rybin

Ryazan State Radio-Engineering University

Email: pgnv@mail.ru
Russian Federation, Ryazan, 390005

N. V. Rybina

Ryazan State Radio-Engineering University

Email: pgnv@mail.ru
Russian Federation, Ryazan, 390005


Copyright (c) 2016 Pleiades Publishing, Ltd.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies