De-Ye Lin

According to our database, De-Ye Lin authored at least 4 papers between 2018 and 2022.

Collaborative distances:

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

2022

Visual analysis of defect clustering in 3D irradiation damage simulation data.

Guoqing Wu, De-Ye Lin, Huawei Wang, Leqing Liu

J. Vis., 2022

2021

Machine learning enhanced empirical potentials for metals and alloys.

Xin Chen, Li-Fang Wang, Xing-Yu Gao, Ya-Fan Zhao, De-Ye Lin, Wei-Dong Chu, Haifeng Song

Comput. Phys. Commun., 2021

2020

TensorAlloy: An automatic atomistic neural network program for alloys.

Xin Chen, Xingyu Gao, Ya-Fan Zhao, De-Ye Lin, Wei-Dong Chu, Hai-Feng Song

Comput. Phys. Commun., 2020

2018

Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation.

Linfeng Zhang, De-Ye Lin, Han Wang, Roberto Car, Weinan E

CoRR, 2018