Understanding high pressure molecular hydrogen with a hierarchical machine-learned potential

Hongxiang Zong1,2, Heather Wiebe3, Graeme J Ackland4

  • 1Centre for Science at Extreme Conditions and School of Physics and Astronomy, University of Edinburgh, Edinburgh, EH9 3ET, UK. zonghust@mail.xjtu.edu.cn.

Nature Communications
|October 7, 2020
PubMed
Summary

A new computational model explains unusual features in the hydrogen phase diagram, revealing insights into molecular hydrogen phases and high-pressure behavior. This model clarifies why liquid hydrogen is denser than solid hydrogen at extreme pressures.

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