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Gao-Peng Ren

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

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Journal of Chemical Information and Modeling|April 27, 2023
Enhancing Molecular Representations Via Graph Transformation LayersGao-Peng Ren, Ke-Jun Wu, Yuchen He
Journal of Cheminformatics|February 7, 2023
Force field-inspired molecular representation learning for property predictionGao-Peng Ren, Yi-Jian Yin, Ke-Jun Wu, et al.
ACS Central Science|August 1, 2022
Transition State Theory-Inspired Neural Network for Estimating the Viscosity of Deep Eutectic SolventsLiu-Ying Yu, Gao-Peng Ren, Xiao-Jing Hou, et al.
Journal of Cheminformatics|July 19, 2023
Force field-inspired transformer network assisted crystal density prediction for energetic materialsJun-Xuan Jin, Gao-Peng Ren, Jianjian Hu, et al.
Pageof 1

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

Sort By:
Pageof 1
Journal of Chemical Information and Modeling|April 27, 2023
Enhancing Molecular Representations Via Graph Transformation LayersGao-Peng Ren, Ke-Jun Wu, Yuchen He
Journal of Cheminformatics|February 7, 2023
Force field-inspired molecular representation learning for property predictionGao-Peng Ren, Yi-Jian Yin, Ke-Jun Wu, et al.
ACS Central Science|August 1, 2022
Transition State Theory-Inspired Neural Network for Estimating the Viscosity of Deep Eutectic SolventsLiu-Ying Yu, Gao-Peng Ren, Xiao-Jing Hou, et al.
Journal of Cheminformatics|July 19, 2023
Force field-inspired transformer network assisted crystal density prediction for energetic materialsJun-Xuan Jin, Gao-Peng Ren, Jianjian Hu, et al.
Pageof 1