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Xiaoxun Gong

Showing results (1-10 of 9) with videos related to

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Physical Review Letters|June 12, 2026
Large Many-Electron Effects in the Temperature-Dependent Electron-Phonon Renormalization of Semiconductor Band GapsXiaoxun Gong, Zhenglu Li, Steven G Louie
Nature Computational Science|October 3, 2024
Generalizing deep learning electronic structure calculation to the plane-wave basisXiaoxun Gong, Steven G Louie, Wenhui Duan, et al.
Nature Communications|May 19, 2023
General framework for E(3)-equivariant neural network representation of density functional theory HamiltonianXiaoxun Gong, He Li, Nianlong Zou, et al.
Nature Computational Science|January 12, 2024
Author Correction: Deep-learning electronic-structure calculation of magnetic superstructuresHe Li, Zechen Tang, Xiaoxun Gong, et al.
Nature Computational Science|January 4, 2024
Deep-learning electronic-structure calculation of magnetic superstructuresHe Li, Zechen Tang, Xiaoxun Gong, et al.
Nature Computational Science|January 4, 2024
Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculationHe Li, Zun Wang, Nianlong Zou, et al.
Nature Computational Science|October 24, 2024
Author Correction: Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculationHe Li, Zun Wang, Nianlong Zou, et al.
Physical Review Letters|March 15, 2024
Deep-Learning Density Functional Perturbation TheoryHe Li, Zechen Tang, Jingheng Fu, et al.
Nature Communications|October 11, 2024
A deep equivariant neural network approach for efficient hybrid density functional calculationsZechen Tang, He Li, Peize Lin, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Physical Review Letters|June 12, 2026
Large Many-Electron Effects in the Temperature-Dependent Electron-Phonon Renormalization of Semiconductor Band GapsXiaoxun Gong, Zhenglu Li, Steven G Louie
Nature Computational Science|October 3, 2024
Generalizing deep learning electronic structure calculation to the plane-wave basisXiaoxun Gong, Steven G Louie, Wenhui Duan, et al.
Nature Communications|May 19, 2023
General framework for E(3)-equivariant neural network representation of density functional theory HamiltonianXiaoxun Gong, He Li, Nianlong Zou, et al.
Nature Computational Science|January 12, 2024
Author Correction: Deep-learning electronic-structure calculation of magnetic superstructuresHe Li, Zechen Tang, Xiaoxun Gong, et al.
Nature Computational Science|January 4, 2024
Deep-learning electronic-structure calculation of magnetic superstructuresHe Li, Zechen Tang, Xiaoxun Gong, et al.
Nature Computational Science|January 4, 2024
Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculationHe Li, Zun Wang, Nianlong Zou, et al.
Nature Computational Science|October 24, 2024
Author Correction: Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculationHe Li, Zun Wang, Nianlong Zou, et al.
Physical Review Letters|March 15, 2024
Deep-Learning Density Functional Perturbation TheoryHe Li, Zechen Tang, Jingheng Fu, et al.
Nature Communications|October 11, 2024
A deep equivariant neural network approach for efficient hybrid density functional calculationsZechen Tang, He Li, Peize Lin, et al.
Pageof 1