On the liquid–liquid phase transition of dense hydrogen

Until recently the consensus theory/computation interpretation of the challenging liquid liquid phase transition (LLPT) of high-pressure hydrogen was first order. Cheng et al. developed a machine-learnt potential (MLP) that, in larger molecular dynamics (MD) simulations, gives a continuous transitio...

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Veröffentlicht in:Nature (London) 2021-12, Vol.600 (7889), p.E12-E14
Hauptverfasser: Karasiev, Valentin V., Hinz, Joshua, Hu, S. X., Trickey, S. B.
Format: Artikel
Sprache:eng
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Zusammenfassung:Until recently the consensus theory/computation interpretation of the challenging liquid liquid phase transition (LLPT) of high-pressure hydrogen was first order. Cheng et al. developed a machine-learnt potential (MLP) that, in larger molecular dynamics (MD) simulations, gives a continuous transition instead. Here, we show that the MLP does not reproduce our still larger MD density-functional theory (MD-DFT) calculations as it should. Since the MLP is not a faithful surrogate for the MD-DFT, the Ref. 6 prediction of a supercritical atomic liquid is unfounded.
ISSN:0028-0836
1476-4687
DOI:10.1038/s41586-021-04078-x