article · Computer Physics Communications · 2024
Stokes-Einstein relation for binary mixtures
Cited by 5Open access
Abstract
The applicability of the Stokes-Einstein (SE) relation in two-dimensional finite binary mixtures is tested using the Langevin simulation method. Calculations of viscosity and self-diffusion coefficients are compared between monodisperse and binary systems. It is shown that adapted definitions of coupling strength Γ and screening parameter κ allow to describe the transport properties for both monodisperse and binary systems consistently. Further, it is discussed how the mixing ratio and charge ratio of the binary mixture affects transport properties.
Cite this paper
Liu, Y., & Block, D. (2024). Stokes-Einstein relation for binary mixtures. Computer Physics Communications, 300, 109184. https://doi.org/10.1016/j.cpc.2024.109184
Liu, Yang, and Dietmar Block. “Stokes-Einstein relation for binary mixtures.” Computer Physics Communications, vol. 300, 2024, p. 109184, https://doi.org/10.1016/j.cpc.2024.109184.
Liu, Yang, and Dietmar Block. 2024. “Stokes-Einstein relation for binary mixtures.” Computer Physics Communications 300: 109184. https://doi.org/10.1016/j.cpc.2024.109184.
Liu, Y. and Block, D. (2024) ‘Stokes-Einstein relation for binary mixtures’, Computer Physics Communications, 300, p. 109184. Available at: https://doi.org/10.1016/j.cpc.2024.109184.
@article{liu2024stokes,
title = {{Stokes-Einstein relation for binary mixtures}},
author = {Liu, Yang and Block, Dietmar},
journal = {Computer Physics Communications},
volume = {300},
pages = {109184},
year = {2024},
doi = {10.1016/j.cpc.2024.109184}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.