| Autor: |
Branislav M. Randjelovic, Vojislav V. Mitic, Srdjan Ribar, Dusan M. Milosevic, Goran Lazovic, Hans J. Fecht, Branislav Vlahovic |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Fractal and Fractional, Vol 6, Iss 3, p 134 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2504-3110 |
| DOI: |
10.3390/fractalfract6030134 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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