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[
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1.66533797,
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[
-0.46240258,
-1.420... | [
true,
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"C",
"H",
"O"
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0.3333333333333333,
0.5333333333333333,
0.13333333333333333
] | [
6,
6,
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1,
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1
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"test_600K_MD_424"
] | null | data/MD/5202/MD_1086845055867124744315202.json | null | null | null | {"hash": "10868450558671247443152026947160338505683745266658651051718065983487878962987857602829315249215796444208488632888003673539585986066311769564391053988452926", "id": "MD_1086845055867124744315202"} |
Cite this dataset
Batatia, I., Batzner, S., Kovács, D. P., Musaelian, A., Simm, G. N. C., Drautz, R., Ortner, C., Kozinsky, B., and Csányi, G. BOTnet ACAC 2022 test 600K MD. ColabFit, 2023. https://doi.org/10.60732/c83f94bc
Cite this dataset
Batatia, I., Batzner, S., Kovács, D. P., Musaelian, A., Simm, G. N. C., Drautz, R., Ortner, C., Kozinsky, B., and Csányi, G. BOTnet ACAC 2022 test 600K MD. ColabFit, 2023. https://doi.org/10.60732/c83f94bcThis dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_k0rexhnv58vn_0
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Dataset Name
BOTnet ACAC 2022 test 600K MD
Description
Test set of decorrelated geometries sampled from 600 K xTB MD. Acetylacetone dataset generated from a long molecular dynamics simulation at 300 K using a Langevin thermostat at the semi-empirical GFN2-xTB level of theory. Configurations were sampled at an interval of 1 ps and the resulting set of configurations were recomputed with density functional theory using the PBE exchange-correlation functional with D3 dispersion correction and def2-SVP basis set and VeryTightSCF convergence settings using the ORCA electronic structure package.
Dataset authors
Ilyes Batatia, Simon Batzner, Dávid Péter Kovács, Albert Musaelian, Gregor N. C. Simm, Ralf Drautz, Christoph Ortner, Boris Kozinsky, Gábor Csányi
Publication
https://doi.org/10.1038/s42256-024-00956-x
Original data link
https://github.com/davkovacs/BOTNet-datasets
License
MIT
Number of unique molecular configurations
650
Number of atoms
9750
Elements included
C, H, O
Properties included
energy, atomic forces
Usage
ds.parquet: Aggregated dataset information.co/directory: Configuration rows each include a structure, calculated properties, and metadata.cs/directory : Configuration sets are subsets of configurations grouped by some common characteristic. Ifcs/does not exist, no configurations sets have been defined for this dataset.cs_co_map/directory : The mapping of configurations to configuration sets (if defined).
ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files:
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