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A new dataset of 175k stable and metastable materials calculated with the PBEsol and SCAN functionals

Jonathan Schmidt1, Hai-Chen Wang1, Tiago F. T. Cerqueira2, Silvana Botti3*, Miguel A. L. Marques1*

1 Institut für Physik, Martin-Luther-Universität Halle-Wittenberg, 06120 Halle (Saale), Germany.

2 CFisUC, Department of Physics, University of Coimbra, Rua Larga, 3004-516 Coimbra, Portugal

3 Institut für Festkörpertheorie und -optik and European Theoretical Spectroscopy Facility, Friedrich-Schiller-Universität Jena, D-07743 Jena, Germany

* Corresponding authors emails: silvana.botti@uni-jena.de, miguel.marques@physik.uni-halle.de
DOI10.24435/materialscloud:ka-br [version v2]

Publication date: Oct 20, 2021

How to cite this record

Jonathan Schmidt, Hai-Chen Wang, Tiago F. T. Cerqueira, Silvana Botti, Miguel A. L. Marques, A new dataset of 175k stable and metastable materials calculated with the PBEsol and SCAN functionals, Materials Cloud Archive 2021.164 (2021), doi: 10.24435/materialscloud:ka-br.

Description

In the past decade we have witnessed the appearance of large databases of calculated material properties. These are most often obtained with the Perdew-Burke-Ernzerhof (PBE) functional of density-functional theory, a well established and reliable technique that is by now the standard in materials science. However, there have been recent theoretical developments that allow for an increased accuracy in the calculations. Here, we present a dataset of calculations for 175k solid-state materials obtained with two improved functionals: PBE for solids (that yields consistently better geometries than the PBE) and SCAN (probably the best all-around functional at the moment). Our results provide an accurate overview of the landscape of stable (and nearly stable) materials, and as such can be used for more reliable predictions of novel compounds. They can also be used for training machine learning models, or even for the comparison and benchmark of PBE, PBE for solids, and SCAN.

Materials Cloud sections using this data

No Explore or Discover sections associated with this archive record.

Files

File name Size Description
2021.04.06_ps.json.bz2
MD5md5:0b531d860712eebc041cb96f7528fa4c
45.1 MiB Compressed json file containing the PBEsol calculations
2021.04.06_scan.json.bz2
MD5md5:ddc18b90c504d34b037ab4218d7fd44c
45.3 MiB Compressed json file containing the SCAN calculations
ps_scan_summary.txt
MD5md5:ac83e441856c74e8c3b27b683c272ec0
18.4 MiB Table including a summary of the PBE, PBEsol, and SCAN results
README.txt
MD5md5:49398ec6e4b309a65a59da3902dfe7f1
4.0 KiB Instructions on how to read the data, meaning of the columns in ps_scan_summary.txt, list of pseudopotentials

License

Files and data are licensed under the terms of the following license: Creative Commons Attribution 4.0 International.
Metadata, except for email addresses, are licensed under the Creative Commons Attribution Share-Alike 4.0 International license.

External references

Preprint
Jonathan Schmidt, Hai-Chen Wang, Tiago F. T. Cerqueira, Silvana Botti, and Miguel A. L. Marques (submitted)

Keywords

density-functional theory high-throughput SCAN PBE for solids

Version history:

2021.164 (version v2) [This version] Oct 20, 2021 DOI10.24435/materialscloud:ka-br
2021.60 (version v1) Apr 09, 2021 DOI10.24435/materialscloud:r5-gx