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Musen Zhou

Showing results (1-10 of 6) with videos related to

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The Journal of Chemical Physics|August 24, 2020
A GPU implementation of classical density functional theory for rapid prediction of gas adsorption in nanoporous materialsMusen Zhou, Jianzhong Wu
The Journal of Chemical Physics|May 14, 2022
Efficient force field and energy emulation through partition of permutationally equivalent atomsHao Li, Musen Zhou, Jessalyn Sebastian, et al.
Science Advances|May 29, 2021
Membrane-confined liquid-liquid phase separation toward artificial organellesWenjing Mu, Zhen Ji, Musen Zhou, et al.
Nature Chemistry|November 6, 2023
Superstructural ordering in self-sorting coacervate-based protocell networksWenjing Mu, Liyan Jia, Musen Zhou, et al.
Nature Communications|March 1, 2024
A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworksJingqi Wang, Jiapeng Liu, Hongshuai Wang, et al.
Nature Communications|August 1, 2023
Machine-learning-assisted material discovery of oxygen-rich highly porous carbon active materials for aqueous supercapacitorsTao Wang, Runtong Pan, Murillo L Martins, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|August 24, 2020
A GPU implementation of classical density functional theory for rapid prediction of gas adsorption in nanoporous materialsMusen Zhou, Jianzhong Wu
The Journal of Chemical Physics|May 14, 2022
Efficient force field and energy emulation through partition of permutationally equivalent atomsHao Li, Musen Zhou, Jessalyn Sebastian, et al.
Science Advances|May 29, 2021
Membrane-confined liquid-liquid phase separation toward artificial organellesWenjing Mu, Zhen Ji, Musen Zhou, et al.
Nature Chemistry|November 6, 2023
Superstructural ordering in self-sorting coacervate-based protocell networksWenjing Mu, Liyan Jia, Musen Zhou, et al.
Nature Communications|March 1, 2024
A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworksJingqi Wang, Jiapeng Liu, Hongshuai Wang, et al.
Nature Communications|August 1, 2023
Machine-learning-assisted material discovery of oxygen-rich highly porous carbon active materials for aqueous supercapacitorsTao Wang, Runtong Pan, Murillo L Martins, et al.
Pageof 1