DFODE-Kit: Deep learning package for solving flame chemical kinetics with high-dimensional stiff ordinary differential equations - Han Li; Ke Xiao; Yangchen Xu; Haoze Zhang; Zhenyi Chen; Runze Mao; Zhi X. Chen (Computer Physics Communications, 2026)

DeepFlame 2.0: A new version for fully GPU-native machine learning accelerated reacting flow simulations under low-Mach conditions - Runze Mao; Xinyu Dong; Xuan Bai; Ziheng Wu; Guanlin Dang; Han Li; Zhi X. Chen (Computer Physics Communications, 2025)

Singular value decomposition of near-field electromagnetic data for compressing and accelerating deep neural networks in the prediction of geometric parameters for through silicon via array - Song-En Chen; Eugene Su; Chih-Chung Wang; Jia-Han Li; Chao-Ching Ho (Computer Physics Communications, 2025)

ExaGRyPE: Numerical general relativity solvers based upon the hyperbolic PDEs solver engine ExaHyPE - Han Zhang; Baojiu Li; Tobias Weinzierl; Cristian Barrera-Hinojosa (Computer Physics Communications, 2025)

INSPIRED: Inelastic neutron scattering prediction for instantaneous results and experimental design - Bowen Han; Andrei T. Savici; Mingda Li; Yongqiang Cheng (Computer Physics Communications, 2024)

Jiezi: An open-source Python software for simulating quantum transport based on non-equilibrium Green's function formalism - Junyan Zhu; Jiang Cao; Chen Song; Bo Li; Zhengsheng Han (Computer Physics Communications, 2024)

QPC-TDSE: A parallel TDSE solver for atoms and small molecules in strong lasers - Zhao-Han Zhang; Yang Li; Yi-Jia Mao; Feng He (Computer Physics Communications, 2023)