He Li

According to our database, He Li authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Author Correction: Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation.

He Li, Zun Wang, Nianlong Zou, Meng Ye, Runzhang Xu, Xiaoxun Gong, Wenhui Duan, Yong Xu

Nat. Comput. Sci., November, 2024

2023

Code for "General framework for E(3)-equivariant neural network representation of density functional theory Hamiltonian".

Xiaoxun Gong, He Li, Nianlong Zou, Runzhang Xu, Wenhui Duan, Yong Xu

Dataset, March, 2023

Code for deep-learning electronic-structure calculation of magnetic superstructures.

He Li

Dataset, February, 2023

Dataset for deep-learning electronic-structure calculation of magnetic superstructures.

He Li

Dataset, February, 2023

Dataset3 for "General framework for E(3)-equivariant neural network representation of density functional theory Hamiltonian".

Xiaoxun Gong, He Li, Nianlong Zou, Runzhang Xu, Wenhui Duan, Yong Xu

Dataset, January, 2023

Dataset2 for "General framework for E(3)-equivariant neural network representation of density functional theory Hamiltonian".

Xiaoxun Gong, He Li, Nianlong Zou, Runzhang Xu, Wenhui Duan, Yong Xu

Dataset, January, 2023

Dataset1 for "General framework for E(3)-equivariant neural network representation of density functional theory Hamiltonian".

Xiaoxun Gong, He Li, Nianlong Zou, Runzhang Xu, Wenhui Duan, Yong Xu

Dataset, January, 2023

Author Correction: Deep-learning electronic-structure calculation of magnetic superstructures.

He Li, Zechen Tang, Xiaoxun Gong, Nianlong Zou, Wenhui Duan, Yong Xu

Nat. Comput. Sci., 2023

Deep-learning electronic-structure calculation of magnetic superstructures.

He Li, Zechen Tang, Xiaoxun Gong, Nianlong Zou, Wenhui Duan, Yong Xu

Nat. Comput. Sci., 2023

2022

Code for deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation.

He Li

Dataset, May, 2022

Dataset for deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation.

He Li

Dataset, May, 2022

Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation.

He Li, Zun Wang, Nianlong Zou, Meng Ye, Runzhang Xu, Xiaoxun Gong, Wenhui Duan, Yong Xu

Nat. Comput. Sci., 2022