Haifeng Song

According to our database, Haifeng Song authored at least 12 papers between 2017 and 2026.

Collaborative distances:

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

2026

A multi-level Monte Carlo tree search method for configuration generation in crystalline systems.

Xiaoxu Li, Ge Xu, Huajie Chen, Xingyu Gao, Haifeng Song

Comput. Phys. Commun., 2026

2025

HTEM: High-throughput toolkit for elasticity modeling.

Zhen Yang, Jiawei Xian, Yuanji Xu, De-Ye Lin, Qingchun Wang, Xingyu Gao, Fuyang Tian, Haifeng Song

Comput. Phys. Commun., 2025

TENSORMD: Accelerating Molecular Dynamics with a High-Performance Machine Learning Interatomic Potential.

Yucheng Ouyang, Xin Chen, Ying Liu, Xin Chen, Honghui Shang, Zhenchuan Chen, Rongfen Lin, Xingyu Gao, Lifang Wang, Fang Li, Jiahao Shan, Haifeng Song, Huimin Cui, Xiaobing Feng, Jingling Xue

Proceedings of the International Conference for High Performance Computing, 2025

TensorMD: Molecular Dynamics Simulation with Ab Initio Accuracy of 50 Billion Atoms.

Yucheng Ouyang, Ying Liu, Honghui Shang, Zhenchuan Chen, Jiahao Shan, Huimin Cui, Xiaobing Feng, Xin Chen, Xingyu Gao, Lifang Wang, Haifeng Song, Xin Chen, Rongfen Lin, Fang Li

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

2024

An adaptive preconditioning scheme for the self-consistent field iteration and generalized stacking fault energy calculations.

Sitong Zhang, Xingyu Gao, Haifeng Song, Bin Wen

Comput. Phys. Commun., 2024

2023

Redesigning OpenKMC for Multi-Component Trillion-Atom Simulations on the New Sunway Supercomputer.

Lei Xu, Honghui Shang, Xin Chen, Yunquan Zhang, Lifang Wang, Xingyu Gao, Haifeng Song

IEEE Trans. Parallel Distributed Syst., July, 2023

TensorMD: Scalable Tensor-Diagram based Machine Learning Interatomic Potential on Heterogeneous Many-Core Processors.

Xin Chen, Yucheng Ouyang, Xin Chen, Zhenchuan Chen, Rongfen Lin, Xingyu Gao, Lifang Wang, Fang Li, Yin Liu, Honghui Shang, Haifeng Song

CoRR, 2023

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

TensorKMC: kinetic Monte Carlo simulation of 50 trillion atoms driven by deep learning on a new generation of Sunway supercomputer.

Honghui Shang, Xin Chen, Xingyu Gao, Rongfen Lin, Lifang Wang, Fang Li, Qian Xiao, Lei Xu, Qiang Sun, Leilei Zhu, Fei Wang, Yunquan Zhang, Haifeng Song

Proceedings of the International Conference for High Performance Computing, 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

WannierTools: An open-source software package for novel topological materials.

QuanSheng Wu, ShengNan Zhang, Haifeng Song, Matthias Troyer, Alexey A. Soluyanov

Comput. Phys. Commun., 2018

2017

Parallel 3-dim fast Fourier transforms with load balancing of the plane waves.

Xingyu Gao, Zeyao Mo, Jun Fang, Haifeng Song, Han Wang

Comput. Phys. Commun., 2017