Dataset

Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials

Data for the publication High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials, npj Comput. Mater., DOI: 10.1038/s41524-022-00956-8 (2023)

This data set contains - the training sets (VASP files), - the low moment-tensor-potentials (MTPs) and high-MTPs, - the effective quasiharmonic (QH) potentials, - the free energies, - and the final thermodynamic database (properties) for the four unaries: Nb bcc PBE, Ni fcc PBE, Al fcc PBE, Al fcc LDA, Mg hcp PBE, and Mg hcp LDA. (niobium, nickel, aluminum, and magnesium)

A flowchart and step-by-step methodology are provided in the Supplementary Information of the publication, and a short method in its main text, for the reproduction of the results.

Chemical Info

Data and Resources

Metadata Information

Field Value
DOI
License URL https://creativecommons.org/licenses/by/4.0
Source
Version
Author Jung, Jong Hyun, Srinivasan, Prashanth, Forslund, Axel, Grabowski, Blazej
Maintainer DaRUS
Language
MetadataPublished
Related Molecule
Field Value
No additional information available for this Dataset.
Data-Source Molecule ID Data-Source
The data in this table is sourced from UniChem at EBI.