Evidence map›Paper›PMID 32963232›Full record

ArticleNature communications2020

Predicting heterogeneous ice nucleation with a data-driven approach.

Martin Fitzner, Philipp Pedevilla, Angelos Michaelides

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Surface Structure of Polar Silver Iodide (0001) in Various Liquids: No Indication for a Surface Reconstruction.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The role of the water contact layer on hydration and transport at solid/liquid interfaces.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Deep learning for unravelling features of heterogeneous ice nucleation.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Accurate prediction of ice nucleation from room temperature water.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Article
  14. Routes to cubic ice through heterogeneous nucleation.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Martin FitznerThomas Young Centre, London Centre for Nanotechnology and Department of Physics and Astronomy, University College London, Gower Street, London, WC1E 6BT, UK.ORCID http://orcid.org/0000-0001-6790-4301
Philipp PedevillaThomas Young Centre, London Centre for Nanotechnology and Department of Physics and Astronomy, University College London, Gower Street, London, WC1E 6BT, UK.
Angelos MichaelidesThomas Young Centre, London Centre for Nanotechnology and Department of Physics and Astronomy, University College London, Gower Street, London, WC1E 6BT, UK. angelos.michaelides@ucl.ac.uk.ORCID http://orcid.org/0000-0002-9169-169X

Funding

EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) 616121RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/L000202RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/P020194/1
6 · The paper itself

Abstract

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 identified. Our results reveal that, beyond Vonnegut's connection with the lattice match to ice, three new microscopic factors help to predict the ice nucleating ability. These are: local ordering induced in liquid water, density reduction of liquid water near the surface and corrugation of the adsorption energy landscape felt by water. With this we take a step towards quantitative understanding of heterogeneous ice nucleation and the in silico design of materials to control ice formation.

Identifiers

PMID32963232
PMCPMC7509812

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.