QM_hamiltonian_nature_2019 ...
~100,000 configurations of water, ethanol, malondialdehyde and uracil gathered at the PBE/def2-SVP level of theory using ORCA. ...
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ColabFit
2023
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Online Access: | https://dx.doi.org/10.60732/b0a10262 https://materials.colabfit.org/id/DS_02cqe6a0bobu_0 |
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ftdatacite:10.60732/b0a10262 2024-04-28T08:35:14+00:00 QM_hamiltonian_nature_2019 ... Schütt, Kristof T. Gastegger, Michael Tkatchenko, Alexandre Klaus-Robert Müller Maurer, Reinhard J. 2023 chemical/x-xyz https://dx.doi.org/10.60732/b0a10262 https://materials.colabfit.org/id/DS_02cqe6a0bobu_0 en eng ColabFit https://doi.org/10.1038/s41467-019-12875-2 http://quantum-machine.org/datasets/ Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 ColabFit Dataset AgPd_NPJ_2021 Materials Science https//id.loc.gov/authorities/subjects/sh85082094.html Machine Learning https//id.loc.gov/authorities/subjects/sh85079324.html Techniques/Computational Techniques/First-principles calculations Techniques/Computational Techniques/Machine Learning Techniques/Computational Techniques/Molecular Dynamics Research Areas/Atomic & molecular structure/Potential energy surfaces Research Areas/Electronic structure/Interatomic & molecular potentials dataset ColabFit Dataset Dataset 2023 ftdatacite https://doi.org/10.60732/b0a10262 2024-04-02T12:53:40Z ~100,000 configurations of water, ethanol, malondialdehyde and uracil gathered at the PBE/def2-SVP level of theory using ORCA. ... Dataset Orca DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
ColabFit Dataset AgPd_NPJ_2021 Materials Science https//id.loc.gov/authorities/subjects/sh85082094.html Machine Learning https//id.loc.gov/authorities/subjects/sh85079324.html Techniques/Computational Techniques/First-principles calculations Techniques/Computational Techniques/Machine Learning Techniques/Computational Techniques/Molecular Dynamics Research Areas/Atomic & molecular structure/Potential energy surfaces Research Areas/Electronic structure/Interatomic & molecular potentials |
spellingShingle |
ColabFit Dataset AgPd_NPJ_2021 Materials Science https//id.loc.gov/authorities/subjects/sh85082094.html Machine Learning https//id.loc.gov/authorities/subjects/sh85079324.html Techniques/Computational Techniques/First-principles calculations Techniques/Computational Techniques/Machine Learning Techniques/Computational Techniques/Molecular Dynamics Research Areas/Atomic & molecular structure/Potential energy surfaces Research Areas/Electronic structure/Interatomic & molecular potentials Schütt, Kristof T. Gastegger, Michael Tkatchenko, Alexandre Klaus-Robert Müller Maurer, Reinhard J. QM_hamiltonian_nature_2019 ... |
topic_facet |
ColabFit Dataset AgPd_NPJ_2021 Materials Science https//id.loc.gov/authorities/subjects/sh85082094.html Machine Learning https//id.loc.gov/authorities/subjects/sh85079324.html Techniques/Computational Techniques/First-principles calculations Techniques/Computational Techniques/Machine Learning Techniques/Computational Techniques/Molecular Dynamics Research Areas/Atomic & molecular structure/Potential energy surfaces Research Areas/Electronic structure/Interatomic & molecular potentials |
description |
~100,000 configurations of water, ethanol, malondialdehyde and uracil gathered at the PBE/def2-SVP level of theory using ORCA. ... |
format |
Dataset |
author |
Schütt, Kristof T. Gastegger, Michael Tkatchenko, Alexandre Klaus-Robert Müller Maurer, Reinhard J. |
author_facet |
Schütt, Kristof T. Gastegger, Michael Tkatchenko, Alexandre Klaus-Robert Müller Maurer, Reinhard J. |
author_sort |
Schütt, Kristof T. |
title |
QM_hamiltonian_nature_2019 ... |
title_short |
QM_hamiltonian_nature_2019 ... |
title_full |
QM_hamiltonian_nature_2019 ... |
title_fullStr |
QM_hamiltonian_nature_2019 ... |
title_full_unstemmed |
QM_hamiltonian_nature_2019 ... |
title_sort |
qm_hamiltonian_nature_2019 ... |
publisher |
ColabFit |
publishDate |
2023 |
url |
https://dx.doi.org/10.60732/b0a10262 https://materials.colabfit.org/id/DS_02cqe6a0bobu_0 |
genre |
Orca |
genre_facet |
Orca |
op_relation |
https://doi.org/10.1038/s41467-019-12875-2 http://quantum-machine.org/datasets/ |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.60732/b0a10262 |
_version_ |
1797567382372220928 |