| Autor: |
Stefka Fidanova, Vladimir Myasnichenko, Leoneed Kirilov, Rossen Mikhov, Nickolay Sdobnyakov |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Advanced Computing in Industrial Mathematics ISBN: 9783030716158 |
| DOI: |
10.1007/978-3-030-71616-5_25 |
| Popis: |
The description of the mechanisms of formation and dynamics of changes in the internal structure of nanoparticles can allow predicting the properties of these nanoparticles. Despite the modern development of the experimental base and theoretical approaches, certain tasks in the study of structural characteristics, including the search for stable configurations, the description of the criteria for thermal stability, etc., are not being solved. The stable configuration is when the potential energy is minimal. In this paper we apply Simulated Annealing method for metal nanoparticle structures optimization developed earlier by the authors. Successful application of the method depends on algorithm parameters. One of the most important parameters is the value of the initial temperature. According to the literature the initial temperature needs to have a high value. The question is which value is high. A fixed value can be high for some initial data and not high for other. We propose several variants of calculation of the value of initial temperature and study their influence on algorithm performance. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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