| 2022.04.08 | v2.2 | Version 2.2 went through 3,200 commit modifications on GitHub from version 2.1, and the development team includes developers from various domestic research institutions |
2022.07.01 | v2.3 | Version 2.3 incorporates new plane wave generation and parallel modules, enhancing support for parallel computing with plane wave basis sets; the functionalities of the stochastic wave function density functional theory method have been released |
2022.10.01 | v3.0 | Version 3.0 has been released with the deep learning-based DeePKS functional approach based on periodic boundary conditions. Interfaces with the machine learning potential function method DeePMD-kit and the DP-GEN method have been released, as well as interfaces with the DeepH method for constructing Hamiltonians of electronic systems through machine learning |
2023.01.01 | v3.1 | Version 3.1 has been released with support for GPU and domestic DCU hardware in plane-wave basis set solutions for the Kohn-Sham equations, and introduces new features for the computation of solid-liquid interfaces |
| 2023.04.01 | v3.2 | Version 3.2 has been released with an interface for Hefei-NAMD software. The coverage of unit tests has increased to 60%, and the total coverage is now 76% |
2023.07.13 | v3.3 | Version 3.3 introduces an interface for calculating hybrid functionals with LibRI, and an interface with ShengBTE software for conducting material thermal conductivity calculations |
2023.10.07 | v3.4 | Version 3.4 primarily supports the DPA method, a machine learning potential function for universal large models, and has reconstructed core algorithms such as more efficient and reliable numerical atomic orbital two-center integrals |
2023.12.29 | v3.5 | Version 3.5 improved the algorithm for charge mixing and supported ultrasoft pseudopotentials for plane-wave basis sets, with targeted code development and optimization for three practical application scenarios: semiconductors, alloys, and batteries |
| 2024.04.01 | v3.6 | Version 3.6 has released a more stable and reliable DFT + U algorithm function and further optimized the program's computational performance on Sunway DCU hardware |
| 2024.07.01 | v3.7 | Version 3.7 has further supported the OpenLAM Large Atom Model project on a larger scale |