Publication date: Oct 20, 2021
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.
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File name | Size | Description |
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2021.04.06_ps.json.bz2
MD5md5:0b531d860712eebc041cb96f7528fa4c
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45.1 MiB | Compressed json file containing the PBEsol calculations |
2021.04.06_scan.json.bz2
MD5md5:ddc18b90c504d34b037ab4218d7fd44c
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45.3 MiB | Compressed json file containing the SCAN calculations |
ps_scan_summary.txt
MD5md5:ac83e441856c74e8c3b27b683c272ec0
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18.4 MiB | Table including a summary of the PBE, PBEsol, and SCAN results |
README.txt
MD5md5:49398ec6e4b309a65a59da3902dfe7f1
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4.0 KiB | Instructions on how to read the data, meaning of the columns in ps_scan_summary.txt, list of pseudopotentials |
2023.71 (version v3) | May 01, 2023 | DOI10.24435/materialscloud:5j-9m |
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 |