Molecular simulation of hydrogen storage and transport in cellulose

Megan R. Stalker, James Grant, Chin W. Yong, Leyorla Ohene-Yeboah, Timothy J. Mays, Stephen C. Parker

Research output: Contribution to journalArticlepeer-review

4 Citations (SciVal)
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Abstract

In this work we describe a computational workflow to model the sorption and transport of molecular hydrogen in cellulose frameworks. The work demonstrates the value of the molecular dynamics code, DL_POLY and Monte Carlo code, DL_MONTE sharing common input formats to enhance the compatibility of the codes, being supported by DL_FIELD. Structures generated using cellulose-builder were processed by DL_FIELD to generate input files for DL_POLY using the OPLS_2005 force field. After relaxation in molecular dynamics, structures were used for GCMC simulations in DL_MONTE before passing back to DL_POLY to evaluate transport properties at different levels of sorption. While no hydrogen sorption was seen in pure crystalline cellulose, increasing separation between layers did allow sorption. When slit-pores were sufficiently wide, interactions with the cellulose led to the volumetric density of adsorbed hydrogen exceeding vacuum density at accessible partial pressures as well as allowing diffusion through the system. These model systems can give useful insight into the behaviour of amorphous cellulose in future simulation and experiment.
Original languageEnglish
Pages (from-to)170-179
Number of pages10
JournalMolecular Simulation
Volume47
Issue number2-3
Early online date27 Mar 2019
DOIs
Publication statusPublished - 31 Dec 2021

Keywords

  • Molecular modelling
  • Molecular Dynamics
  • Monte Carlo
  • Cellulose
  • Hydrogen Storage

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