Issue 32, 2024

Self-diffusion and shear viscosity of pure 1-alkanol unary system: molecular dynamics simulation and review of experimental data

Abstract

Self-diffusion coefficients and shear viscosity coefficients of pure 1-alkanol liquids from methanol to 1-hexanol were predicted using molecular dynamics (MD) simulations. These coefficients have been calculated using the Green–Kubo and Einstein methods at a range of temperatures of 200–330 K with increments of 10 K. Two force fields, TraPPE-UA and OPLS-AA were applied. The predicted results were compared to the experimental data, and the activation energies for self-diffusion and shear viscosity were calculated using the Arrhenius equation. The Stokes–Einstein equation was used to examine its capability in predicting the relationship between self-diffusion and shear viscosity, and the effective hydrodynamic radius was determined using both the experimental data and the results from MD simulations. The TraPPE-UA force field showed better results for the transport properties of methanol, while the OPLS-AA force field performed well for predicting shear viscosity but weakly for self-diffusion, particularly at low temperatures and for 1-alkanol with higher methylene numbers. Using the mean squared displacement method for self-diffusion was found to be more accurate than the Green–Kubo method, while the Green–Kubo method was slightly better for calculating shear viscosity. The Stokes–Einstein equation is valid for pure 1-alkanol liquids with temperature-dependent effective hydrodynamic radius.

Graphical abstract: Self-diffusion and shear viscosity of pure 1-alkanol unary system: molecular dynamics simulation and review of experimental data

Supplementary files

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Article information

Article type
Paper
Submitted
12 May 2024
Accepted
08 Jul 2024
First published
22 Jul 2024
This article is Open Access
Creative Commons BY license

RSC Adv., 2024,14, 22947-22961

Self-diffusion and shear viscosity of pure 1-alkanol unary system: molecular dynamics simulation and review of experimental data

A. Jaradat, R. Al-Salman and A. Obeidat, RSC Adv., 2024, 14, 22947 DOI: 10.1039/D4RA03494E

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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