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Title: Fractal Nature Bridge between Neural Networks and Graph Theory Approach within Material Structure Characterization
Many recently published research papers examine the representation of nanostructures and biomimetic materials, especially using mathematical methods. For this purpose, it is important that the mathematical method is simple and powerful. Theory of fractals, artificial neural networks and graph theory are most commonly used in such papers. These methods are useful tools for applying mathematics in nanostructures, especially given the diversity of the methods, as well as their compatibility and complementarity. The purpose of this paper is to provide an overview of existing results in the field of electrochemical and magnetic nanostructures parameter modeling by applying the three methods that are “easy to use”: theory of fractals, artificial neural networks and graph theory. We also give some new conclusions about applicability, advantages and disadvantages in various different circumstances.  more » « less
Award ID(s):
2101041
PAR ID:
10357184
Author(s) / Creator(s):
; ; ; ; ; ;
Date Published:
Journal Name:
Fractal and Fractional
Volume:
6
Issue:
3
ISSN:
2504-3110
Page Range / eLocation ID:
134
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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