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Understanding high pressure hydrogen with a hierarchical machine-learned potential

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Understanding high pressure hydrogen with a hierarchical machine-learned potential. / Zong, Hongxiang; Wiebe, Heather; Ackland, Graeme J.

In: Nature Communications, Vol. 11, 5014, 06.10.2020.

Research output: Contribution to journalArticlepeer-review

Harvard

Zong, H, Wiebe, H & Ackland, GJ 2020, 'Understanding high pressure hydrogen with a hierarchical machine-learned potential', Nature Communications, vol. 11, 5014. https://doi.org/10.1038/s41467-020-18788-9

APA

Zong, H., Wiebe, H., & Ackland, G. J. (2020). Understanding high pressure hydrogen with a hierarchical machine-learned potential. Nature Communications, 11, [5014]. https://doi.org/10.1038/s41467-020-18788-9

Vancouver

Zong H, Wiebe H, Ackland GJ. Understanding high pressure hydrogen with a hierarchical machine-learned potential. Nature Communications. 2020 Oct 6;11. 5014. https://doi.org/10.1038/s41467-020-18788-9

Author

Zong, Hongxiang ; Wiebe, Heather ; Ackland, Graeme J. / Understanding high pressure hydrogen with a hierarchical machine-learned potential. In: Nature Communications. 2020 ; Vol. 11.