A Navier-Stokes-peridynamics hybrid algorithm for the coupling of compressible flows and fracturing materials - Mingshuo Han; Shiwei Hu; Tianbai Xiao; Yonghao Zhang (Computer Physics Communications, 2026)

A semi-implicit fully Eulerian WENO scheme for high-fidelity Vlasov–Ampère simulations - Mao-Syun Wong; Shih-Hung Chen; Tsung-Che Tsai; Kun-Han Lee (Computer Physics Communications, 2026)

MatSub: A performance-oriented subgroup discovery framework for materials informatics - Xiaojuan Hu; Ali Ghanem; Sergey V. Levchenko; Zhong-Kang Han (Computer Physics Communications, 2026)

A Gegenbauer-Galerkin spectral scheme for three-dimensional incompressible Hall-magnetohydrodynamics system - Shimin Guo; Han Jiang; Pengrui Zhou; Liquan Mei (Computer Physics Communications, 2026)

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)

Physics-informed multiresolution wavelet neural network method for solving partial differential equations - Feng Han; Jianguo Wang; Guoliang Peng; Xueting Shi (Computer Physics Communications, 2026)

Noise reliability evaluation of nanoscale metal-oxide-semiconductor field-effect transistors based on Monte Carlo simulation and soft computing - Xiaofei Jia; Qun Wei; Wenpeng Zhang; Han Wang; Liang He (Computer Physics Communications, 2026)

Large scale stress-aware epitaxial growth simulations using a hybrid Molecular Dynamics-Monte Carlo method - Anthony Payet; SangJun Yun; JeongHwan Han; Alexander Schmidt; Inkook Jang; Dae Sin Kim (Computer Physics Communications, 2025)

KaiEDJ: A program conducting dynamical mean-field theory and magnetic force theory calculation for correlated magnetic materials - Hyeong Jun Lee; Taek Jung Kim; Hongkee Yoon; Myung Joon Han (Computer Physics Communications, 2025)

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)

ALATDYN: A set of Anharmonic LATtice DYNamics codes to compute thermodynamic and thermal transport properties of crystalline solids - Keivan Esfarjani; Harold Stokes; Safoura Nayeb Sadeghi; Yuan Liang; Bikash Timalsina; Han Meng; Junichiro Shiomi; Bolin Liao; Ruoshi Sun (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)

ComDMFT v.2.0: Fully self-consistent ab initio GW+EDMFT for the electronic structure of correlated quantum materials - Byungkyun Kang; Patrick Semon; Corey Melnick; Mancheon Han; Seongjun Mo; Hoonkyung Lee; Gabriel Kotliar; Sangkook Choi (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)

FOS: A fully integrated open-source program for Fast Optical Spectrum calculations of nanoparticle media - Daniel Carne; Joseph Peoples; Ziqi Guo; Dudong Feng; Zherui Han; Xiaojie Liu; Xiulin Ruan (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)

A three-dimensional solver for simulating detonation on curvilinear adaptive meshes - Han Peng; Ralf Deiterding (Computer Physics Communications, 2023)

AI-aided multiscale modeling of physiologically-significant blood clots - Yicong Zhu; Changnian Han; Peng Zhang; Guojing Cong; James R. Kozloski; Chih-Chieh Yang; Leili Zhang; Yuefan Deng (Computer Physics Communications, 2023)

DeePKS-kit: A package for developing machine learning-based chemically accurate energy and density functional models - Yixiao Chen; Linfeng Zhang; Han Wang; Weinan E (Computer Physics Communications, 2023)