Coarse-grained modeling of polycrystalline ice in supercooled water.
POSTER
Abstract
Formation and growth of grains of ice is ubiquitous, influencing naturally occurring phenomena such as glacier formation and processes happening at the nanoscale, like intracellular freezing. Despite the exponential growth in computing resources, it remains a grand challenge to simulate phase transitions and dynamical processes in deeply supercooled systems due to limitations imposed by system sizes and timescales which is further compounded by their sluggish kinetics. We will present our work on probing the formation and grain growth in polycrystalline ice using coarse-grained molecular dynamics on multi-million molecule systems for up to microsecond time scales. Our findings highlight the distinct differences between grain growth mechanisms of ice compared to those in metals and ceramics.
Authors
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Henry Chan
Argonne National Laboratory
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Matthew J. Cherukara
Argonne Natl Lab, Argonne National Laboratory
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Badri Narayanan
Argonne National Laboratory
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Chris Benmore
Argonne National Laboratory
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Stephen Gray
Argonne National Laboratory
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Sankaranarayanan Subramanian
Argonne National Laboratory