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Bingqing Cheng

Showing results (31-40 of 55) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|January 6, 2019
Ab initio thermodynamics of liquid and solid waterBingqing Cheng, Edgar A Engel, Jörg Behler, et al.
Chemical Science|May 14, 2023
Physics-inspired machine learning of localized intensive propertiesKe Chen, Christian Kunkel, Bingqing Cheng, et al.
Nature Communications|August 10, 2022
Thermodynamics of high-pressure ice phases explored with atomistic simulationsAleks Reinhardt, Mandy Bethkenhagen, Federica Coppari, et al.
ACS Materials Letters|August 8, 2025
Thermal Transport of Amorphous Hafnia Across the Glass TransitionZezhu Zeng, Xia Liang, Zheyong Fan, et al.
Nature Communications|October 2, 2023
Mechanistic insight on water dissociation on pristine low-index TiO<sub>2</sub> surfaces from machine learning molecular dynamics simulationsZezhu Zeng, Felix Wodaczek, Keyang Liu, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 21, 2025
Cartesian equivariant representations for learning and understanding molecular orbitalsDaniel S King, Daniel Grzenda, Ray Zhu, et al.
Biomed Research International|October 29, 2021
Protein Arginine Methyltransferase 5 Promotes the Migration of AML Cells by Regulating the Expression of Leukocyte Immunoglobulin-Like Receptor B4Lu Zhao, Bingqing Cheng, Jie Xiong, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 6, 2025
Lattice distortion leads to glassy thermal transport in crystalline Cs<sub>3</sub>Bi<sub>2</sub>I<sub>6</sub>Cl<sub>3</sub>Zezhu Zeng, Zheyong Fan, Michele Simoncelli, et al.
International Journal of Biological Macromolecules|November 3, 2023
Preparation of curcumin-loaded pectin-nisin copolymer emulsion and evaluation of its stabilityBingqing Cheng, Jiaofen Lin, Jinmei Zou, et al.
Journal of Chemical Theory and Computation|December 10, 2025
A Universal Augmentation Framework for Long-Range Electrostatics in Machine Learning Interatomic PotentialsDongjin Kim, Xiaoyu Wang, Santiago Vargas, et al.
Pageof 6

Showing results (31-40 of 55) with videos related to

Sort By:
Pageof 6
Proceedings of the National Academy of Sciences of the United States of America|January 6, 2019
Ab initio thermodynamics of liquid and solid waterBingqing Cheng, Edgar A Engel, Jörg Behler, et al.
Chemical Science|May 14, 2023
Physics-inspired machine learning of localized intensive propertiesKe Chen, Christian Kunkel, Bingqing Cheng, et al.
Nature Communications|August 10, 2022
Thermodynamics of high-pressure ice phases explored with atomistic simulationsAleks Reinhardt, Mandy Bethkenhagen, Federica Coppari, et al.
ACS Materials Letters|August 8, 2025
Thermal Transport of Amorphous Hafnia Across the Glass TransitionZezhu Zeng, Xia Liang, Zheyong Fan, et al.
Nature Communications|October 2, 2023
Mechanistic insight on water dissociation on pristine low-index TiO<sub>2</sub> surfaces from machine learning molecular dynamics simulationsZezhu Zeng, Felix Wodaczek, Keyang Liu, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 21, 2025
Cartesian equivariant representations for learning and understanding molecular orbitalsDaniel S King, Daniel Grzenda, Ray Zhu, et al.
Biomed Research International|October 29, 2021
Protein Arginine Methyltransferase 5 Promotes the Migration of AML Cells by Regulating the Expression of Leukocyte Immunoglobulin-Like Receptor B4Lu Zhao, Bingqing Cheng, Jie Xiong, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 6, 2025
Lattice distortion leads to glassy thermal transport in crystalline Cs<sub>3</sub>Bi<sub>2</sub>I<sub>6</sub>Cl<sub>3</sub>Zezhu Zeng, Zheyong Fan, Michele Simoncelli, et al.
International Journal of Biological Macromolecules|November 3, 2023
Preparation of curcumin-loaded pectin-nisin copolymer emulsion and evaluation of its stabilityBingqing Cheng, Jiaofen Lin, Jinmei Zou, et al.
Journal of Chemical Theory and Computation|December 10, 2025
A Universal Augmentation Framework for Long-Range Electrostatics in Machine Learning Interatomic PotentialsDongjin Kim, Xiaoyu Wang, Santiago Vargas, et al.
Pageof 6