Five-Site Water Models for Ice and Liquid Water Generated by a Series–Parallel Machine Learning Strategy-Reference-Cited by-同舟云学术

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Five-Site Water Models for Ice and Liquid Water Generated by a Series–Parallel Machine Learning Strategy

Published:2024-08-12 Issue:17 Volume:20 Page:7533-7545
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Wang Jian¹^ORCID,Hei Haitao¹,Zheng Yonggang¹²^ORCID,Zhang Hongwu¹,Ye Hongfei¹^ORCID

Affiliation:

1. International Research Center for Computational Mechanics, State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian 116024, P. R. China

2. DUT-BSU Joint Institute, Dalian University of Technology, Dalian 116024, P. R. China

Funder

Key Research and Development Program of Liaoning Province

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.4c00440

Reference72 articles.

1. Atomic imaging of the edge structure and growth of a two-dimensional hexagonal ice

2. Spontaneous dewetting transitions of droplets during icing & melting cycle

3. Freezing-induced wetting transitions on superhydrophobic surfaces

4. Water Revisited

5. The structural origin of anomalous properties of liquid water

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