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Chi Chen

Affiliations: 
University of California, San Diego, La Jolla, CA 
Area:
Computational Materials Science, Machine Learning
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"Chi Chen"
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Parents

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Francesco Ciucci grad student 2012-2016 HKUST
Shyue Ping Ong post-doc 2016-2019 UCSD (Chemistry Tree)

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Publications

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Chen C, Ong SP. (2022) A universal graph deep learning interatomic potential for the periodic table. Nature Computational Science. 2: 718-728
Holekevi Chandrappa ML, Qi J, Chen C, et al. (2022) Thermodynamics and Kinetics of the Cathode-Electrolyte Interface in All-Solid-State Li-S Batteries. Journal of the American Chemical Society
Barnes P, Zuo Y, Dixon K, et al. (2022) Electrochemically induced amorphous-to-rock-salt phase transformation in niobium oxide electrode for Li-ion batteries. Nature Materials
Chen C, Zuo Y, Ye W, et al. (2021) Learning properties of ordered and disordered materials from multi-fidelity data. Nature Computational Science. 1: 46-53
Yang L, Chen C, Xiong S, et al. (2021) Multiprincipal Component P2-Na(TiMnCoNiRu)O as a High-Rate Cathode for Sodium-Ion Batteries. Jacs Au. 1: 98-107
Chen Y, Chen C, Zheng C, et al. (2021) Database of ab initio L-edge X-ray absorption near edge structure. Scientific Data. 8: 153
Zheng C, Chen C, Chen Y, et al. (2020) Random Forest Models for Accurate Identification of Coordination Environments from X-Ray Absorption Near-Edge Structure. Patterns (New York, N.Y.). 1: 100013
Zuo Y, Chen C, Li XG, et al. (2020) A Performance and Cost Assessment of Machine Learning Interatomic Potentials. The Journal of Physical Chemistry. A
Amachraa M, Wang Z, Chen C, et al. (2020) Predicting Thermal Quenching in Inorganic Phosphors Chemistry of Materials. 32: 6256-6265
Hu C, Zuo Y, Chen C, et al. (2020) Genetic algorithm-guided deep learning of grain boundary diagrams: Addressing the challenge of five degrees of freedom Materials Today
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