Neural Network Potentials: A Concise Overview of Methods
Kocer, Emir, Ko, Tsz Wai, Behler, Jörg
Published in Annual review of physical chemistry (20.04.2022)
Published in Annual review of physical chemistry (20.04.2022)
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Journal Article
General-Purpose Machine Learning Potentials Capturing Nonlocal Charge Transfer
Ko, Tsz Wai, Finkler, Jonas A, Goedecker, Stefan, Behler, Jörg
Published in Accounts of chemical research (16.02.2021)
Published in Accounts of chemical research (16.02.2021)
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Journal Article
Accurate Fourth-Generation Machine Learning Potentials by Electrostatic Embedding
Ko, Tsz Wai, Finkler, Jonas A., Goedecker, Stefan, Behler, Jörg
Published in Journal of chemical theory and computation (27.06.2023)
Published in Journal of chemical theory and computation (27.06.2023)
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Journal Article
(Invited) Machine Learning for Solid-State Batteries – Progress Versus Hype
Ong, Shyue Ping, Qi, Ji, Chen, Chi, Chandrappa, Manas Likhit Holekevi, Ko, Tsz Wai
Published in Meeting abstracts (Electrochemical Society) (28.08.2023)
Published in Meeting abstracts (Electrochemical Society) (28.08.2023)
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Journal Article
Robust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling
Qi, Ji, Ko, Tsz Wai, Wood, Brandon C, Pham, Tuan Anh, Ong, Shyue Ping
Year of Publication 24.07.2023
Year of Publication 24.07.2023
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Journal Article
Superionic surface Li-ion transport in carbonaceous materials
Zhou, Jianbin, Wang, Shen, Wu, Chaoshan, Qi, Ji, Wan, Hongli, Lai, Shen, Feng, Shijie, Ko, Tsz Wai, Liang, Zhaohui, Zhou, Ke, Harpak, Nimrod, Solan, Nick, Liu, Mengchen, Hui, Zeyu, Ai, Paulina J, Griffith, Kent, Wang, Chunsheng, Ong, Shyue Ping, Yao, Yan, Liu, Ping
Year of Publication 27.05.2024
Year of Publication 27.05.2024
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