Fick diffusion coefficients via molecular dynamics: An alternative approach in the Fourier domain

Thiago J.P. dos Santos, Frederico W. Tavares, Charlles R.A. Abreu

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Mutual diffusion coefficient data are required for several systems of scientific and engineering interest to properly describe mass transport phenomena over a wide range of pressures, temperatures, and compositions. In this work, we calculated Fick diffusion coefficients for some CO2 and n-alkane mixtures at high pressures using a new method, which we derived by introducing modifications to the Fourier Correlation Method (FCM) originally proposed by Nichols and Wheeler [I&EC Research, 54, 12,156–12,164 (2015)]. The modified FCM (mFCM) results were validated through comparisons with experimental data and with Fick coefficients calculated by employing well-established Molecular Dynamics methodologies. The new approach has some interesting advantages, such as providing Fick coefficients for molecular systems directly through a single equilibrium calculation, in contrast to traditional methods in which an extra calculation is needed to obtain the so-called thermodynamic factor. It is shown that the new approach considerably reduces the finite-size effect of the simulation box on the calculated diffusion coefficients, which are thus obtained in the thermodynamic limit.

Original languageEnglish
Article number115460
JournalJournal of Molecular Liquids
Volume329
DOIs
StatePublished - May 1 2021
Externally publishedYes

Funding

The authors are grateful for the financial support provided by CAPES (finance code 001), Petrobras (project code CENPES 20934-6), and CNPq. We are also grateful for the help provided by Dr. Iuri Segtovich and for the computational resources provided by the Lobo-Carneiro Supercomputer Faculty at the Federal University of Rio de Janeiro, Brazil. The authors are grateful for the financial support provided by CAPES (finance code 001 ), Petrobras (project code CENPES 20934-6 ), and CNPq . We are also grateful for the help provided by Dr. Iuri Segtovich and for the computational resources provided by the Lobo-Carneiro Supercomputer Faculty at the Federal University of Rio de Janeiro , Brazil.

Keywords

  • Carbon dioxide
  • Fick diffusion
  • Hydrocarbons
  • Molecular dynamics simulation

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