Erdélyi, Z. and Pasichnyy, M. O. and Bezpalchuk, V. M. and Tomán, J. J. and Gajdics, B. and Gusak, A. M. (2016) Computer Physics Communications. Computer Physics Communications (№ 204). pp. 31-37.
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Abstract
This paper introduces a new model for calculating the change in time of three-dimensional atomic configurations. The model is based on the kinetic mean field (KMF) approach, however we have transformed that model into a stochastic approach by introducing dynamic Langevin noise. The result is a stochastic kinetic mean field model (SKMF) which produces results similar to the lattice kinetic Monte Carlo (KMC). SKMF is, however, far more cost-effective and easier to implement the algorithm (open source program code is provided on http://skmf.eu website). We will show that the result of one SKMF run may correspond to the average of several KMC runs. The number of KMC runs is inversely proportional to the amplitude square of the noise in SKMF. This makes SKMF an ideal tool also for statistical purposes.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | A fluctuation phenomena ; Random processes ; Noise ; Brownian motion ; Computational techniques ; Simulations ; Statistical mechanics of model systems (Ising model , Potts model , field-theory models, Monte Carlo techniques, etc.) ; Nucleation |
| Subjects: | Фізико-математичні науки |
| Divisions: | Навчально-науковий інститут інформаційних та освітніх технологій |
| Depositing User: | Наукова Бібліотека |
| Date Deposited: | 16 Apr 2020 18:55 |
| Last Modified: | 15 May 2023 12:56 |
| URI: | https://eprints.cdu.edu.ua/id/eprint/2123 |
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