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Published in 2022 at "Physical Review Materials"
DOI: 10.1103/physrevmaterials.7.053603
Abstract: Constructing an accurate atomistic model for the high-pressure phases of tin (Sn) is challenging because properties of Sn are sensitive to pressures. We develop machine-learning-based deep potentials for Sn with pressures ranging from 0 to…
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Keywords:
deep potentials;
liquid phases;
pressure;
high pressure ... See more keywords