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...

Full description

Saved in:

Bibliographic Details
Main Authors:	Martin Fitzner, Philipp Pedevilla, Angelos Michaelides
Format:	article
Language:	EN
Published:	Nature Portfolio 2020
Subjects:	Science Q
Online Access:	https://doaj.org/article/831823056c1f4b0a8352e14baf8f5f16
Tags:	Add Tag No Tags, Be the first to tag this record!

id	oai:doaj.org-article:831823056c1f4b0a8352e14baf8f5f16
record_format	dspace
spelling	oai:doaj.org-article:831823056c1f4b0a8352e14baf8f5f162021-12-02T17:27:20ZPredicting heterogeneous ice nucleation with a data-driven approach10.1038/s41467-020-18605-32041-1723https://doaj.org/article/831823056c1f4b0a8352e14baf8f5f162020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18605-3https://doaj.org/toc/2041-1723Heterogenous 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 physical properties of the interface.Martin FitznerPhilipp PedevillaAngelos MichaelidesNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Martin Fitzner Philipp Pedevilla Angelos Michaelides Predicting heterogeneous ice nucleation with a data-driven approach
description	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 physical properties of the interface.
format	article
author	Martin Fitzner Philipp Pedevilla Angelos Michaelides
author_facet	Martin Fitzner Philipp Pedevilla Angelos Michaelides
author_sort	Martin Fitzner
title	Predicting heterogeneous ice nucleation with a data-driven approach
title_short	Predicting heterogeneous ice nucleation with a data-driven approach
title_full	Predicting heterogeneous ice nucleation with a data-driven approach
title_fullStr	Predicting heterogeneous ice nucleation with a data-driven approach
title_full_unstemmed	Predicting heterogeneous ice nucleation with a data-driven approach
title_sort	predicting heterogeneous ice nucleation with a data-driven approach
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/831823056c1f4b0a8352e14baf8f5f16
work_keys_str_mv	AT martinfitzner predictingheterogeneousicenucleationwithadatadrivenapproach AT philipppedevilla predictingheterogeneousicenucleationwithadatadrivenapproach AT angelosmichaelides predictingheterogeneousicenucleationwithadatadrivenapproach
_version_	1718380798495686656

Predicting heterogeneous ice nucleation with a data-driven approach

Similar Items