Seeding method for ice nucleation under shear

Amrita Goswami, Indranil Saha Dalal, Jayant K. Singh*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Hydrodynamic flow can have complex and far-reaching consequences on the rate of homogeneous nucleation. We present a general formalism for calculating the nucleation rates of simply sheared systems. We have derived an extension to the conventional Classical Nucleation Theory, explicitly embodying the shear rate. Seeded molecular dynamics simulations form the backbone of our approach. The framework can be used for moderate supercooling, at which temperatures brute-force methods are practically infeasible. The competing energetic and kinetic effects of shear arise naturally from the equations. We show how the theory can be used to identify shear regimes of ice nucleation behavior for the mW water model, unifying disparate trends reported in the literature. At each temperature, we define a crossover shear rate in the limit of 1000 s-1-10 000 s-1, beyond which the nucleation rate increases steadily up to a maximum, at the optimal shear rate. For 235 K, 240 K, 255 K, and 260 K, the optimal shear rates are in the range of ≈106 s-1-107 s-1. For very high shear rates beyond 108 s-1, nucleation is strongly inhibited. Our results indicate that the optimal shear rates have a non-monotonic dependence on temperature.

Original languageEnglish
Article number094502
JournalJournal of Chemical Physics
Volume153
Issue number9
DOIs
Publication statusPublished - 7 Sept 2020

Bibliographical note

Funding Information:
This work was supported by the Science and Engineering Research Board (Sanction No. STR/2019/000090 and CRG/2019/ 001325). Computational resources were provided by the HPC cluster of the Computer Center (CC), Indian Institute of Technology Kanpur.

Funding Information:
This work was supported by the Science and Engineering Research Board (Sanction No. STR/2019/000090 and CRG/2019/001325). Computational resources were provided by the HPC cluster of the Computer Center (CC), Indian Institute of Technology Kanpur.

Publisher Copyright:
© 2020 Author(s).

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