An ab initio approach to the Hugoniot

The Hugoniot is the equation of state of a shock-compressed material and is a key part of high-pressure physics. One way of calculating it is via the Hugoniostat that has significant computational advantages over direct calculation via non-equilibrium molecular dynamics. We introduce a number of improvements to the Hugoniostat, which significantly reduce the run time and the number of atoms required for converged results. Consequently, ab initio Hugoniot calculations are tractable. We illustrate the benefits through simple model potentials and with density functional theory calculations of argon.

Publication Details

Journal
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Published
2024-10-10
Primary Topic
High-pressure geophysics and materials
Type
article
Field-Weighted Citation Impact
0.00

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article

An ab initio approach to the Hugoniot

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
High-pressure geophysics and materials
article

An ab initio approach to the Hugoniot

article en

Abstract

The Hugoniot is the equation of state of a shock-compressed material and is a key part of high-pressure physics. One way of calculating it is via the Hugoniostat that has significant computational advantages over direct calculation via non-equilibrium molecular dynamics. We introduce a number of improvements to the Hugoniostat, which significantly reduce the run time and the number of atoms required for converged results. Consequently, ab initio Hugoniot calculations are tractable. We illustrate the benefits through simple model potentials and with density functional theory calculations of argon.

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 48%
High-pressure geophysics and materials
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An ab initio approach to the Hugoniot · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (2024) | TGRS Research Map | TGRS