Literature DB >> 33408371

Machine learning reveals the complexity of dense amorphous silicon.

Paul F McMillan.   

Abstract

Entities:  

Keywords:  Condensed-matter physics; Materials science

Year:  2021        PMID: 33408371     DOI: 10.1038/d41586-020-03574-w

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


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  2 in total

1.  High-pressure structures and phase transformations in elemental metals.

Authors:  Malcolm I McMahon; Richard J Nelmes
Journal:  Chem Soc Rev       Date:  2006-08-30       Impact factor: 54.564

2.  Liquid-liquid phase transition in supercooled silicon.

Authors:  Srikanth Sastry; C Austen Angell
Journal:  Nat Mater       Date:  2003-10-12       Impact factor: 43.841

  2 in total
  1 in total

Review 1.  Evaporation of liquid nanofilms: A minireview.

Authors:  Kaixuan Zhang; Wei Fang; Cunjing Lv; Xi-Qiao Feng
Journal:  Phys Fluids (1994)       Date:  2022-02-08       Impact factor: 3.521

  1 in total

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