From diffusion experiments to mean-field theory simulations and back. (4th November 2019)

• Record Type: Journal Article
• Authors: Di Pietro Martínez, M; Hoyuelos, M
• Is Part Of: Journal of statistical mechanics. (2019:Nov.)
• Publication Date: 2019-11-04
• Subjects: 4 -- 3; Statistical mechanics -- Periodicals; Mechanics -- Statistical methods -- Periodicals; 530.1305
• DOI: 10.1088/1742-5468/ab3da4
• Languages: English
• ISSNs: 1742-5468

Abstract

Abstract: Using previous experimental data of diffusion in metallic alloys, we obtain real values for an interpolation parameter introduced in a mean-field theory for diffusion with interaction. Values of order one were found as expected, finding relevance for this quantity as a way to better understand the underlying dynamics of diffusion processes. Furthermore, using this theory, we are able to estimate the values of the mean-field potential from experimental data. As a final test, we reobtain, with all this information as an input to our simulations, the diffusion coefficient in the studied metallic alloys. Therefore, the method provides appropriate transition probabilities to perform Monte Carlo simulations that correctly describe the out of equilibrium behavior.