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Rongzhi Gao

Showing results (1-10 of 4) with videos related to

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Journal of Chemical Theory and Computation|May 15, 2025
Accurate Prediction of Open-Circuit Voltages of Lithium-Ion Batteries via Delta LearningWai Yuet Chiu, Chongzhi Zhang, Rongzhi Gao, et al.
Journal of Chemical Theory and Computation|February 22, 2023
Self-Consistent-Charge Density-Functional Tight-Binding Parameters for Modeling an All-Solid-State Lithium BatteryRongzhi Gao, Ziyang Hu, Jianjun Mao, et al.
Nature Communications|November 25, 2025
A foundation machine learning potential with polarizable long-range interactions for materials modellingRongzhi Gao, ChiYung Yam, Jianjun Mao, et al.
Angewandte Chemie (International Ed. in English)|July 3, 2025
Amorphous Nitride-chloride Solid-State Electrolytes for High Performance All-Solid-State Lithium BatteriesTing-Ting Wu, Si-Jie Guo, Hong-Shen Zhang, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|May 15, 2025
Accurate Prediction of Open-Circuit Voltages of Lithium-Ion Batteries via Delta LearningWai Yuet Chiu, Chongzhi Zhang, Rongzhi Gao, et al.
Journal of Chemical Theory and Computation|February 22, 2023
Self-Consistent-Charge Density-Functional Tight-Binding Parameters for Modeling an All-Solid-State Lithium BatteryRongzhi Gao, Ziyang Hu, Jianjun Mao, et al.
Nature Communications|November 25, 2025
A foundation machine learning potential with polarizable long-range interactions for materials modellingRongzhi Gao, ChiYung Yam, Jianjun Mao, et al.
Angewandte Chemie (International Ed. in English)|July 3, 2025
Amorphous Nitride-chloride Solid-State Electrolytes for High Performance All-Solid-State Lithium BatteriesTing-Ting Wu, Si-Jie Guo, Hong-Shen Zhang, et al.
Pageof 1