Machine learning reveals the complexity of dense amorphous silicon

Paul F. McMillan ()

Nature, 2021, vol. 589, issue 7840, 22-23

Abstract: Transitions between amorphous forms of solids and liquids are difficult to study. Machine learning has now provided fresh insight into pressure-induced transformations of amorphous silicon, opening the way to studies of other systems.

Keywords: Materials science; Condensed-matter physics (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1038/d41586-020-03574-w

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