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Molecular dynamics simulation of high slip flow of water confined between graphene nanochannels at experimentally accessible shear rates

  • Carmelo Riccardo Civello
  • , Luca Maffioli
  • , Edward R. Smith
  • , James P. Ewen
  • , Peter J. Daivis
  • , Daniele Dini
  • , B. D. Todd
  • Swinburne University of Technology
  • Brunel University
  • Imperial College London
  • RMIT University

Research output: Contribution to journal › Article › peer-review

Abstract

The transient time correlation function (TTCF) method has emerged as a powerful methodology for accurately probing systems at low shear rates. In the present study, TTCF was used to evaluate the shear rate dependence of the slip length in a high-slip system consisting of water confined between graphene walls at experimentally accessible shear rates, for which classical nonequilibrium molecular dynamics (NEMD) is unfeasible. The corresponding Navier friction coefficient was computed for all shear rates spanning six orders of magnitude and compared with the equilibrium limit. We report for the first time NEMD results obtained at experimentally accessible shear rates using the TTCF approach for a system that has attracted significant interest over the past decades. The slip length calculated with TTCF is in good agreement with previous equilibrium molecular dynamics simulations and experiments. Our aim here is to highlight the extraordinary power of TTCF, particularly for high-slip (low effective shear rate) systems, and to verify that equilibrium methods directly match NEMD measurements at experimentally accessible shear rates.

Original languageEnglish
Article number234702
Number of pages10
JournalThe Journal of Chemical Physics
Volume164
Issue number23
Early online date17 Jun 2026
DOIs
Publication statusPublished - 21 Jun 2026

Data Availability Statement

The data that support the findings of this study are available within the article and its supplementary material.

Acknowledgements

The authors acknowledge the Swinburne OzSTAR Supercomputing facility, which is located on the traditional lands of the Wurundjeri people, and the Imperial College London Research Computing Service (DOI: 10.14469/hpc/223) for providing computational resources for this study.

Funding

The authors acknowledge the Australian Research Council for a grant obtained through the Discovery Projects Scheme (Grant No. DP200100422) and the Royal Society for support via International Exchanges (Grant No. IES/R3/170/233). J.P.E. was supported by the Royal Academy of Engineering (RAEng) through their research fellowships scheme. D.D. was supported through a Shell/RAEng research chair in complex engineering interfaces.

FundersFunder number
Imperial College London
Royal Academy Of Engineering
Australian Research CouncilDP200100422
Royal SocietyIES/R3/170/233

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