Predicting heterogeneous ice nucleation with a data-driven approach.
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ABSTRACT:
SUBMITTER: Fitzner M
PROVIDER: S-EPMC7509812 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
Publications
Predicting heterogeneous ice nucleation with a data-driven approach.
Fitzner Martin M Pedevilla Philipp P Michaelides Angelos A
Nature communications 20200922 1
Water in nature predominantly freezes with the help of foreign materials through a process known as heterogeneous ice nucleation. Although this effect was exploited more than seven decades ago in Vonnegut's pioneering cloud seeding experiments, it remains unclear what makes a material a good ice former. Here, we show through a machine learning analysis of nucleation simulations on a database of diverse model substrates that a set of physical descriptors for heterogeneous ice nucleation can be id ...[more]
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