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Part 1: Document Description
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Citation |
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Title: |
Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials |
Identification Number: |
doi:10.18419/darus-3239 |
Distributor: |
DaRUS |
Date of Distribution: |
2023-01-11 |
Version: |
1 |
Bibliographic Citation: |
Jung, Jong Hyun; Srinivasan, Prashanth; Forslund, Axel; Grabowski, Blazej, 2023, "Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials", https://doi.org/10.18419/darus-3239, DaRUS, V1 |
Citation |
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Title: |
Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials |
Identification Number: |
doi:10.18419/darus-3239 |
Authoring Entity: |
Jung, Jong Hyun (University of Stuttgart) |
Srinivasan, Prashanth (University of Stuttgart) |
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Forslund, Axel (University of Stuttgart) |
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Grabowski, Blazej (University of Stuttgart) |
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Software used in Production: |
VASP |
Software used in Production: |
MLIP (Machine-Learning Interatomic Potentials) |
Software used in Production: |
Phonopy |
Software used in Production: |
Hiphive |
Software used in Production: |
LAMMPS |
Grant Number: |
info:eu-repo/grantAgreement/EC/H2020/865855 |
Grant Number: |
INST 40/575-1 FUGG |
Grant Number: |
EXC 2075 - 390740016 |
Grant Number: |
Postdoctoral Fellowship Program |
Distributor: |
DaRUS |
Access Authority: |
Grabowski, Blazej |
Depositor: |
Forslund, Axel |
Date of Deposit: |
2022-10-21 |
Holdings Information: |
https://doi.org/10.18419/darus-3239 |
Study Scope |
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Keywords: |
Chemistry, Density Functional Theory, Thermodynamics, Molecular Dynamics, Machine-Learning Potentials, Machine Learning, Interatomic Potential |
Abstract: |
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: <a href="https://doi.org/10.1038/s41524-022-00956-8">10.1038/s41524-022-00956-8</a> (2023) <br> <br> This data set contains <br> - the training sets (VASP files), <br> - the low moment-tensor-potentials (MTPs) and high-MTPs, <br> - the effective quasiharmonic (QH) potentials, <br> - the free energies, <br> - and the final thermodynamic database (properties) for the four unaries: <br> Nb bcc PBE, Ni fcc PBE, Al fcc PBE, Al fcc LDA, Mg hcp PBE, and Mg hcp LDA. (niobium, nickel, aluminum, and magnesium) <br> <br> 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. |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
J. H. Jung, P. Srinivasan, A. Forslund, and B. Grabowski, "High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials", npj Comput. Mater. 9, 3 (2023). |
Identification Number: |
10.1038/s41524-022-00956-8 |
Bibliographic Citation: |
J. H. Jung, P. Srinivasan, A. Forslund, and B. Grabowski, "High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials", npj Comput. Mater. 9, 3 (2023). |
Label: |
Al_fcc_LDA.tar.gz |
Text: |
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al using the LDA functional. |
Notes: |
application/x-gzip |
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Al_fcc_PBE.tar.gz |
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The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al using the PBE functional. |
Notes: |
application/x-gzip |
Label: |
Mg_hcp_LDA.tar.gz |
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The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for hcp Mg using the LDA functional. |
Notes: |
application/x-gzip |
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Mg_hcp_PBE.tar.gz |
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The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for hcp Mg using the PBE functional. |
Notes: |
application/x-gzip |
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Nb_bcc_PBE.tar.gz |
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The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for bcc Nb using the PBE functional. |
Notes: |
application/x-gzip |
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Ni_fcc_PBE.tar.gz |
Text: |
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Ni using the PBE functional. |
Notes: |
application/x-gzip |
Label: |
table-thermodynamic-Al-LDA.txt |
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The free energies and the final thermodynamic database (properties) for fcc Al using the LDA functional. |
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text/plain |
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table-thermodynamic-Al-PBE.txt |
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The free energies and the final thermodynamic database (properties) for fcc Al using the PBE functional. |
Notes: |
text/plain |
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table-thermodynamic-Mg-LDA.txt |
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The free energies and the final thermodynamic database (properties) for hcp Mg using the LDA functional. |
Notes: |
text/plain |
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table-thermodynamic-Mg-PBE.txt |
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The free energies and the final thermodynamic database (properties) for hcp Mg using the PBE functional. |
Notes: |
text/plain |
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table-thermodynamic-Nb-PBE.txt |
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The free energies and the final thermodynamic database (properties) for bcc Nb using the PBE functional. |
Notes: |
text/plain |
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table-thermodynamic-Ni-PBE.txt |
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The free energies and the final thermodynamic database (properties) for fcc Ni using the PBE functional. |
Notes: |
text/plain |