A Machine Learning Model to Classify Dynamic Processes in Liquid Water |
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| Authors: | Jie Huang Dr. Gang Huang Prof. Dr. Shiben Li |
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| Affiliation: | 1. Department of Physics, Wenzhou University, Wenzhou, Zhejiang, 325035 China;2. Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing, 100190 China |
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| Abstract: | The front cover artwork is provided by the groups of Prof. Shiben Li (Wenzhou University, P.R. China) as well as Dr. Gang Huang (Institute of Theoretical Physics, Chinese Academy of Sciences, P.R. China). The image shows that characteristics of dynamic processes of water molecules in liquid water can be recognized and classified by a machine learning-based model if a graph representation is used to describe the hydrogen bond network. Read the full text of the Article at 10.1002/cphc.202100599 . |
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| Keywords: | AIMD deep learning dynamic process classification hydrogen bond dynamics LSTM |
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