Dataset

BOTnet_ACAC_2022_isolated



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Name BOTnet_ACAC_2022_isolated
Extended ID BOTnet_ACAC_2022_isolated__Batatia-Batzner-Kovács-Musaelian-Simm-Drautz-Ortner-Kozinsky-Csányi__DS_e22u3j5sbilx_0
Description Energies of the isolated atoms evalauted at the reference DFT settings. 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.
Authors Ilyes Batatia
Simon Batzner
Dávid Péter Kovács
Albert Musaelian
Gregor N. C. Simm
Ralf Drautz
Christoph Ortner
Boris Kozinsky
Gábor Csányi
DOI 10.60732/1e359db4
https://commons.datacite.org/doi.org/10.60732/1e359db4
https://doi.datacite.org/dois/10.60732%2F1e359db4
https://doi.org/10.60732/1e359db4

Cite as: 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 isolated." ColabFit, 2023. https://doi.org/10.60732/1e359db4.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types atomic_forces
cauchy_stress
energy
Elements C (33.33%)
H (33.33%)
O (33.33%)
Number of Configurations 3
Number of Atoms 3
Links https://github.com/davkovacs/BOTNet-datasets
https://doi.org/10.48550/arXiv.2205.06643
Configuration Sets by Name (None)
Configuration Sets by ID (None)
Calculated Properties
ColabFit ID DS_e22u3j5sbilx_0
Files colabfitspec.json

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