Data · dataset · 2023
Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials
Listed in DaRUS
Data for the publication High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials, npj Comput.
Description
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.
Links
Where it is published
- Dataverse dataset page darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi%3A10.18419%2FDARUS-3239 ↗
landing page · from darus uni stuttgart de
- DOI doi.org/10.18419/darus-3239 ↗
DOI / persistent id · from darus uni stuttgart de
Catalogue records · 1
- Dataverse API darus.uni-stuttgart.de/api/datasets/:persistentId/?persistentId=doi%3A10.18419%2FDARU… ↗
metadata API · from darus uni stuttgart de
Topics
- Stated by source
- Chemistry
- From keywords
- Chemistry · Computer Science & AI · Density functional theory · Life Sciences · Machine learning
- Inferred from text
- Text 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DaRUS | doi:10.18419/DARUS-3239 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4611 | mapping · darus uni stuttgart de | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].dataverse_subject:chemistry | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[method].local:method:dft | mapping · darus uni stuttgart de | vocabulary-mapper@1.0.0 | keywords['Density Functional Theory'] |
| concepts[modality].local:modality:text | enrichment · darus uni stuttgart de | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| description | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /description |
| publication_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| title | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /name |
| updated_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| version_label | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 |