Temperature-dependent kinetic pathways of heterogeneous ice nucleation competing between classical and non-classical nucleation

Chu Li, Zhuo Liu, Eshani C. Goonetilleke, Xuhui Huang

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

AbstractIce nucleation on the surface plays a vital role in diverse areas, ranging from physics and cryobiology to atmospheric science. Compared to ice nucleation in the bulk, the water-surface interactions present in heterogeneous ice nucleation complicate the nucleation process, making heterogeneous ice nucleation less comprehended, especially the relationship between the kinetics and the structures of the critical ice nucleus. Here we combine Markov State Models and transition path theory to elucidate the ensemble pathways of heterogeneous ice nucleation. Our Markov State Models reveal that the classical one-step and non-classical two-step nucleation pathways can surprisingly co-exist with comparable fluxes at T = 230 K. Interestingly, we find that the disordered mixing of rhombic and hexagonal ice leads to a favorable configurational entropy that stabilizes the critical nucleus, facilitating the non-classical pathway. In contrast, the favorable energetics promotes the formation of hexagonal ice, resulting in the classical pathway. Furthermore, we discover that, at elevated temperatures, the nucleation process prefers to proceed via the classical pathway, as opposed to the non-classical pathway, since the potential energy contributions override the configurational entropy compensation. This study provides insights into the mechanisms of heterogeneous ice nucleation and sheds light on the rational designs to control crystallization processes.
Original languageEnglish (US)
JournalNature Communications
Volume12
Issue number1
DOIs
StatePublished - Aug 16 2021
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2021-08-23
Acknowledgements: This work was supported by Hong Kong Research Grant Council [grant numbers: 16302214, 16307718, 16303919, N_HKUST635/20, T13-605/18-W, AoE/M-09/12 and AoE/P-705/16]; Innovation and Technology Commission [grant numbers: ITCPD/17-9 and ITC-CNERC14SC01]; This research made use of the computing resources of the Supercomputing Laboratory at King Abdullah University of Science and Technology and the X-GPU cluster supported by the Hong Kong Research Grant Council Collaborative Research Fund: C6021-19EF.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • General Chemistry
  • General Physics and Astronomy

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