Challenges in molecular simulation of homogeneous ice nucleation

We address the problem of recognition and growth of ice nuclei in simulation of supercooled bulk water. Bond orientation order parameters based on the spherical harmonics analysis are shown to be ineffective when applied to ice nucleation. Here we present an alternative method which robustly differe...

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Published in:Journal of Physics: Condensed Matter
Main Authors: Brukhno, Andrey V., Anwar, Jamshed, Davidchack, Ruslan, Handel, Richard
Format: Article in Journal/Newspaper
Language:unknown
Published: 2008
Subjects:
Online Access:https://eprints.lancs.ac.uk/id/eprint/62182/
https://doi.org/10.1088/0953-8984/20/49/494243
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spelling ftulancaster:oai:eprints.lancs.ac.uk:62182 2023-08-27T04:09:59+02:00 Challenges in molecular simulation of homogeneous ice nucleation Brukhno, Andrey V. Anwar, Jamshed Davidchack, Ruslan Handel, Richard 2008-12-10 https://eprints.lancs.ac.uk/id/eprint/62182/ https://doi.org/10.1088/0953-8984/20/49/494243 unknown Brukhno, Andrey V. and Anwar, Jamshed and Davidchack, Ruslan and Handel, Richard (2008) Challenges in molecular simulation of homogeneous ice nucleation. Journal of Physics: Condensed Matter, 20 (49). ISSN 0953-8984 Journal Article PeerReviewed 2008 ftulancaster https://doi.org/10.1088/0953-8984/20/49/494243 2023-08-03T22:24:07Z We address the problem of recognition and growth of ice nuclei in simulation of supercooled bulk water. Bond orientation order parameters based on the spherical harmonics analysis are shown to be ineffective when applied to ice nucleation. Here we present an alternative method which robustly differentiates between hexagonal and cubic ice forms. The method is based on accumulation of the maximum projection of bond orientations onto a set of predetermined vectors, where different terms can contribute with opposite signs with the result that the irrelevant or incompatible molecular arrangements are damped out. We also introduce an effective cluster size by assigning a quality weight to each molecule in an ice-like cluster. We employ our cluster analysis in Monte Carlo simulation of homogeneous ice formation. Replica-exchange umbrella sampling is used for biasing the growth of the largest cluster and calculating the associated free energy barrier. Our results suggest that the ice formation can be seen as a two-stage process. Initially, short tetrahedrally arranged threads and rings are present; these become correlated and form a diffuse ice-genic network. Later, hydrogen bond arrangements within the amorphous ice-like structure gradually settle down and simultaneously 'tune-up' nearby water molecules. As a result, a well-shaped ice core emerges and spreads throughout the system. The process is very slow and diverse owing to the rough energetic landscape and sluggish molecular motion in supercooled water, while large configurational fluctuations are needed for crystallization to occur. In the small systems studied so far the highly cooperative molecular rearrangements eventually lead to a relatively fast percolation of the forming ice structure through the periodic boundaries, which inevitably affects the simulation results. Article in Journal/Newspaper ice core Lancaster University: Lancaster Eprints Journal of Physics: Condensed Matter 20 49 494243
institution Open Polar
collection Lancaster University: Lancaster Eprints
op_collection_id ftulancaster
language unknown
description We address the problem of recognition and growth of ice nuclei in simulation of supercooled bulk water. Bond orientation order parameters based on the spherical harmonics analysis are shown to be ineffective when applied to ice nucleation. Here we present an alternative method which robustly differentiates between hexagonal and cubic ice forms. The method is based on accumulation of the maximum projection of bond orientations onto a set of predetermined vectors, where different terms can contribute with opposite signs with the result that the irrelevant or incompatible molecular arrangements are damped out. We also introduce an effective cluster size by assigning a quality weight to each molecule in an ice-like cluster. We employ our cluster analysis in Monte Carlo simulation of homogeneous ice formation. Replica-exchange umbrella sampling is used for biasing the growth of the largest cluster and calculating the associated free energy barrier. Our results suggest that the ice formation can be seen as a two-stage process. Initially, short tetrahedrally arranged threads and rings are present; these become correlated and form a diffuse ice-genic network. Later, hydrogen bond arrangements within the amorphous ice-like structure gradually settle down and simultaneously 'tune-up' nearby water molecules. As a result, a well-shaped ice core emerges and spreads throughout the system. The process is very slow and diverse owing to the rough energetic landscape and sluggish molecular motion in supercooled water, while large configurational fluctuations are needed for crystallization to occur. In the small systems studied so far the highly cooperative molecular rearrangements eventually lead to a relatively fast percolation of the forming ice structure through the periodic boundaries, which inevitably affects the simulation results.
format Article in Journal/Newspaper
author Brukhno, Andrey V.
Anwar, Jamshed
Davidchack, Ruslan
Handel, Richard
spellingShingle Brukhno, Andrey V.
Anwar, Jamshed
Davidchack, Ruslan
Handel, Richard
Challenges in molecular simulation of homogeneous ice nucleation
author_facet Brukhno, Andrey V.
Anwar, Jamshed
Davidchack, Ruslan
Handel, Richard
author_sort Brukhno, Andrey V.
title Challenges in molecular simulation of homogeneous ice nucleation
title_short Challenges in molecular simulation of homogeneous ice nucleation
title_full Challenges in molecular simulation of homogeneous ice nucleation
title_fullStr Challenges in molecular simulation of homogeneous ice nucleation
title_full_unstemmed Challenges in molecular simulation of homogeneous ice nucleation
title_sort challenges in molecular simulation of homogeneous ice nucleation
publishDate 2008
url https://eprints.lancs.ac.uk/id/eprint/62182/
https://doi.org/10.1088/0953-8984/20/49/494243
genre ice core
genre_facet ice core
op_relation Brukhno, Andrey V. and Anwar, Jamshed and Davidchack, Ruslan and Handel, Richard (2008) Challenges in molecular simulation of homogeneous ice nucleation. Journal of Physics: Condensed Matter, 20 (49). ISSN 0953-8984
op_doi https://doi.org/10.1088/0953-8984/20/49/494243
container_title Journal of Physics: Condensed Matter
container_volume 20
container_issue 49
container_start_page 494243
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