Predicting heterogeneous ice nucleation with a data-driven approach

Heterogenous ice nucleation is a ubiquitous phenomenon, but predicting the ice nucleation ability of a substrate is challenging. Here the authors develop a machine-learning data-driven approach to predict the ice nucleation ability of substrates, which is based on four descriptors related to physica...

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Auteurs principaux: Martin Fitzner, Philipp Pedevilla, Angelos Michaelides
Format: article
Langue:EN
Publié: Nature Portfolio 2020
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Accès en ligne:https://doaj.org/article/831823056c1f4b0a8352e14baf8f5f16
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