MoireStudio: A universal twisted electronic structure calculation package - Junxi Yu; Yichen Liu; Cheng-Cheng Liu (Computer Physics Communications, 2026)

Physics-aware POD-based learning for Ab initio QEM-Galerkin simulations of periodic nanostructures - Martin Veresko; Yu Liu; Daqing Hou; Ming-Cheng Cheng (Computer Physics Communications, 2025)

GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND) - R. Alves Batista; A. Benoit-Lévy; T. Bister; M. Bohacova; M. Bustamante; W. Carvalho; Y. Chen; L. Cheng; S. Chiche; J.M. Colley; P. Correa; N. Cucu Laurenciu; et al. (Computer Physics Communications, 2025)

TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions - Sibo Cheng; Jinyang Min; Che Liu; Rossella Arcucci (Computer Physics Communications, 2025)

Vlasov-Fokker-Planck-Maxwell simulations for plasmas in inertial confinement fusion - S.T. Zhang; X.M. Li; D.J. Liu; X.X. Li; R.J. Cheng; S.Y. Lv; Z.M. Huang; B. Qiao; Z.J. Liu; L.H. Cao; C.Y. Zheng; X.T. He (Computer Physics Communications, 2024)

Data-driven, multi-moment fluid modeling of Landau damping - Wenjie Cheng; Haiyang Fu; Liang Wang; Chuanfei Dong; Yaqiu Jin; Mingle Jiang; Jiayu Ma; Yilan Qin; Kexin Liu (Computer Physics Communications, 2023)