Routes to cubic ice through heterogeneous nucleation.

ice molecular dynamics nucleation polymorphism

Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
30 03 2021
Historique:
entrez: 26 3 2021
pubmed: 27 3 2021
medline: 27 3 2021
Statut: ppublish

Résumé

The freezing of water into ice is one of the most important processes in the physical sciences. However, it is still not understood at the molecular level. In particular, the crystallization of cubic ice ([Formula: see text])-rather than the traditional hexagonal polytype ([Formula: see text])-has become an increasingly debated topic. Although evidence for [Formula: see text] is thought to date back almost 400 y, it is only in the last year that pure [Formula: see text] has been made in the laboratory, and these processes involved high-pressure ice phases. Since this demonstrates that pure [Formula: see text] can form, the question naturally arises if [Formula: see text] can be made from liquid water. With this in mind, we have performed a high-throughput computational screening study involving molecular dynamics simulations of nucleation on over 1,100 model substrates. From these simulations, we find that 1) many different substrates can promote the formation of pristine [Formula: see text]; 2) [Formula: see text] can be selectively nucleated for even the mildest supercooling; 3) the water contact layer's resemblance to a face of ice is the key factor determining the polytype selectivity and nucleation temperature, independent of which polytype is promoted; and 4) substrate lattice match to ice is not indicative of the polytype obtained. Through this study, we have deepened understanding of the interplay of heterogeneous nucleation and ice I polytypism and suggest routes to [Formula: see text] More broadly, the substrate design methodology presented here combined with the insight gained can be used to understand and control polymorphism and stacking disorder in materials in general.

Identifiants

pubmed: 33766916
pii: 2025245118
doi: 10.1073/pnas.2025245118
pmc: PMC8020660
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2021 the Author(s). Published by PNAS.

Déclaration de conflit d'intérêts

The authors declare no competing interest.

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Auteurs

Michael Benedict Davies (MB)

Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom.
Thomas Young Centre, University College London, London WC1E 6BT, United Kingdom.
London Centre for Nanotechnology, University College London, London WC1H 0AH, United Kingdom.
Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom.

Martin Fitzner (M)

Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom.
Thomas Young Centre, University College London, London WC1E 6BT, United Kingdom.
London Centre for Nanotechnology, University College London, London WC1H 0AH, United Kingdom.

Angelos Michaelides (A)

Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom am452@cam.ac.uk.
Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom.
Thomas Young Centre, University College London, London WC1E 6BT, United Kingdom.
London Centre for Nanotechnology, University College London, London WC1H 0AH, United Kingdom.

Classifications MeSH