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Challenges in molecular simulation of homogeneous ice nucleation

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Challenges in molecular simulation of homogeneous ice nucleation. / Brukhno, Andrey V.; Anwar, Jamshed; Davidchack, Ruslan; Handel, Richard.

In: Journal of Physics: Condensed Matter, Vol. 20, No. 49, 494243, 10.12.2008.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Brukhno, AV, Anwar, J, Davidchack, R & Handel, R 2008, 'Challenges in molecular simulation of homogeneous ice nucleation', Journal of Physics: Condensed Matter, vol. 20, no. 49, 494243. https://doi.org/10.1088/0953-8984/20/49/494243

APA

Brukhno, A. V., Anwar, J., Davidchack, R., & Handel, R. (2008). Challenges in molecular simulation of homogeneous ice nucleation. Journal of Physics: Condensed Matter, 20(49), [494243]. https://doi.org/10.1088/0953-8984/20/49/494243

Vancouver

Brukhno AV, Anwar J, Davidchack R, Handel R. Challenges in molecular simulation of homogeneous ice nucleation. Journal of Physics: Condensed Matter. 2008 Dec 10;20(49). 494243. https://doi.org/10.1088/0953-8984/20/49/494243

Author

Brukhno, Andrey V. ; Anwar, Jamshed ; Davidchack, Ruslan ; Handel, Richard. / Challenges in molecular simulation of homogeneous ice nucleation. In: Journal of Physics: Condensed Matter. 2008 ; Vol. 20, No. 49.

Bibtex

@article{c5b4ce74df414703b10f4ba29666a97d,
title = "Challenges in molecular simulation of homogeneous ice nucleation",
abstract = "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.",
keywords = "WATER, CRYSTAL-NUCLEATION, DYNAMICS SIMULATIONS, SURFACE CRYSTALLIZATION, LENNARD-JONES SYSTEM, I-H, FREE-ENERGY, ORDER, HEXAGONAL ICE, LIQUID",
author = "Brukhno, {Andrey V.} and Jamshed Anwar and Ruslan Davidchack and Richard Handel",
year = "2008",
month = dec,
day = "10",
doi = "10.1088/0953-8984/20/49/494243",
language = "English",
volume = "20",
journal = "Journal of Physics: Condensed Matter",
issn = "0953-8984",
publisher = "IOP Publishing Ltd",
number = "49",
note = "7th Liquid Matter Conference ; Conference date: 27-06-2008 Through 01-07-2008",

}

RIS

TY - JOUR

T1 - Challenges in molecular simulation of homogeneous ice nucleation

AU - Brukhno, Andrey V.

AU - Anwar, Jamshed

AU - Davidchack, Ruslan

AU - Handel, Richard

PY - 2008/12/10

Y1 - 2008/12/10

N2 - 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.

AB - 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.

KW - WATER

KW - CRYSTAL-NUCLEATION

KW - DYNAMICS SIMULATIONS

KW - SURFACE CRYSTALLIZATION

KW - LENNARD-JONES SYSTEM

KW - I-H

KW - FREE-ENERGY

KW - ORDER

KW - HEXAGONAL ICE

KW - LIQUID

U2 - 10.1088/0953-8984/20/49/494243

DO - 10.1088/0953-8984/20/49/494243

M3 - Journal article

VL - 20

JO - Journal of Physics: Condensed Matter

JF - Journal of Physics: Condensed Matter

SN - 0953-8984

IS - 49

M1 - 494243

T2 - 7th Liquid Matter Conference

Y2 - 27 June 2008 through 1 July 2008

ER -