Nature Communications (Jan 2019)

Machine learning coarse grained models for water

  • Henry Chan,
  • Mathew J. Cherukara,
  • Badri Narayanan,
  • Troy D. Loeffler,
  • Chris Benmore,
  • Stephen K. Gray,
  • Subramanian K. R. S. Sankaranarayanan

DOI
https://doi.org/10.1038/s41467-018-08222-6
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 14

Abstract

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A computationally efficient description of ice-water systems at the mesoscopic scale is challenging due to system size and timescale limitations. Here the authors develop a machine-learned coarse-grained water model to elucidate the ice nucleation process much more efficiently than previous models.