Published September 30, 2025 | Version v1
Dataset Open

Precision verification results data for ABACUS@PW|PseudoDojo-v0.4

  • 1. ROR icon Beijing Institute of Technology
  • 2. ROR icon Peking University

* Contact person

Description

Density functional theory calculations have been a pillar of computational materials science in the past two decades, and the recent development of AI and data-driven methods has reiterated their importance. ABACUS (Atomic-orbital Based Ab-initio Computation at USTC) is an open-source density functional theory code that supports both plane-wave and numerical atomic orbital basis sets. It is designed as a versatile platform integrating various electronic structure methods and is particularly well-suited for deep-learning-assisted materials simulations. The accuracy of a density functional theory code is crucial for its wide deployment. In this work, we use the verification protocol established by E. Bosoni et al. [Nat. Rev. Phys. 6, 45-58 (2024)] based on the AiiDA common workflows framework to validate the precision of ABACUS by comparing its results with previously generated all-electron benchmarks. Our results show that, using consistent pseudopotentials and comparable calculation settings, ABACUS yields highly consistent results compared to other established codes such as QE, Abinit, and CASTEP. This entry contains all the data, calculations, and scripts required to reproduce the results.

Files

File preview

All files

Files (3.4 GiB)

Name Apps Size
md5:f34f5580a129528aea9a58e05aa4ce65
23.2 MiB Preview Download
md5:f33b6fc44b1611b2477dcf9994344c35
1.6 GiB Download
md5:576bbd43bd381b258f99ad5fa0d57506
1.8 GiB Download
md5:afa89a48d91b68bef6b82114d41336eb
6.3 KiB Preview Download

References

Journal reference
E. Bosoni et al., Nat. Rev. Phys. 6, 45 (2024), doi: 10.1038/s42254-023-00655-3

Journal reference
P. Li, X. Liu, M. Chen, P. Lin, X. Ren, L. Lin, C. Yang, L. He, Comput. Mater. Sci., 112, 503–517 (2016)., doi: 10.1016/j.commatsci.2015.07.004

Website
E. Bosoni et al., Verification of the precision of DFT implementations via AiiDA common workflows, Materials Cloud (2023), doi: 10.24435/materialscloud:s4-3h