Dataset Viewer
chemical_formula_hill
string | chemical_formula_reduced
string | chemical_formula_anonymous
string | atomic_numbers
sequence | elements
sequence | elements_ratios
sequence | nelements
int32 | nsites
int32 | cell
sequence | positions
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string | energy
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float64 | mean_force_norm
float64 | property_object_metadata
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string | property_object_last_modified
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string | configuration_labels
sequence | configuration_names
sequence | configuration_dataset_ids
sequence | configuration_last_modified
timestamp[ns] | configuration_hash
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string | dataset_name
string | dataset_authors
sequence | dataset_description
string | dataset_elements
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int64 | dataset_cauchy_stress_count
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sequence | dataset_publication_year
string | dataset_total_elements_ratios
sequence | dataset_license
string | dataset_links
string | dataset_doi
string | dataset_hash
string | dataset_id
string | dataset_extended_id
string |
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MD_1086845055867124744315202
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500 decorrelated geometries sampled from 600 K xTB MD run. 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.
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500 decorrelated geometries sampled from 600 K xTB MD run. 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.
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"Albert Musaelian",
"Gregor N. C. Simm",
"Ralf Drautz",
"Christoph Ortner",
"Boris Kozinsky",
"Gábor Csányi"
] |
500 decorrelated geometries sampled from 600 K xTB MD run. 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.
|
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{'source-publication': 'https://doi.org/10.48550/arXiv.2205.06643', 'source-data': 'https://github.com/davkovacs/BOTNet-datasets', 'other': None}
|
10.60732/7239a192
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DS_632yputkfhpg_0
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BOTnet_ACAC_2022_train_600K_MD__Batatia-Batzner-Kovács-Musaelian-Simm-Drautz-Ortner-Kozinsky-Csányi__DS_632yputkfhpg_0
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500 decorrelated geometries sampled from 600 K xTB MD run. 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.
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500 decorrelated geometries sampled from 600 K xTB MD run. 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.
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500 decorrelated geometries sampled from 600 K xTB MD run. 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.
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500 decorrelated geometries sampled from 600 K xTB MD run. 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.
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500 decorrelated geometries sampled from 600 K xTB MD run. 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.
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500 decorrelated geometries sampled from 600 K xTB MD run. 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.
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"Gábor Csányi"
] |
500 decorrelated geometries sampled from 600 K xTB MD run. 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.
|
[
"C",
"H",
"O"
] | 3 | 500 | 500 | 7,500 | 0 | 500 | 0 | 500 | 0 | 500 | -9,390.88698 | 0.067297 | 0 | 2023-12-01T18:31:19 |
[
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2023
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MIT
|
{'source-publication': 'https://doi.org/10.48550/arXiv.2205.06643', 'source-data': 'https://github.com/davkovacs/BOTNet-datasets', 'other': None}
|
10.60732/7239a192
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|
DS_632yputkfhpg_0
|
BOTnet_ACAC_2022_train_600K_MD__Batatia-Batzner-Kovács-Musaelian-Simm-Drautz-Ortner-Kozinsky-Csányi__DS_632yputkfhpg_0
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C5H8O2
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C5H8O2
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A8B5C2
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[
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ORCA 5.0
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DFT-PBE-D3
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[] | null | null | null | -9,390.592848 | null | 1.988809 | 4.600916 |
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MD_1086845055867124744315202
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PO_4470344078549499859064905
| null | null | null |
[
"train_600K_MD_220"
] |
[
"DS_632yputkfhpg_0"
] | 2023-12-01T23:31:17 |
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CO_8893400956981046569830695
|
BOTnet_ACAC_2022_train_600K_MD
|
[
"Ilyes Batatia",
"Simon Batzner",
"Dávid Péter Kovács",
"Albert Musaelian",
"Gregor N. C. Simm",
"Ralf Drautz",
"Christoph Ortner",
"Boris Kozinsky",
"Gábor Csányi"
] |
500 decorrelated geometries sampled from 600 K xTB MD run. 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.
|
[
"C",
"H",
"O"
] | 3 | 500 | 500 | 7,500 | 0 | 500 | 0 | 500 | 0 | 500 | -9,390.88698 | 0.067297 | 0 | 2023-12-01T18:31:19 |
[
[
1,
1,
1
]
] |
[
3
] |
2023
|
[
0.3333333333333333,
0.5333333333333333,
0.13333333333333333
] |
MIT
|
{'source-publication': 'https://doi.org/10.48550/arXiv.2205.06643', 'source-data': 'https://github.com/davkovacs/BOTNet-datasets', 'other': None}
|
10.60732/7239a192
|
8074711050136337617337154932767372206710687787139184974891880077624525084589261819951574462360248937426331551759712872626685428357468055884337679618157684
|
DS_632yputkfhpg_0
|
BOTnet_ACAC_2022_train_600K_MD__Batatia-Batzner-Kovács-Musaelian-Simm-Drautz-Ortner-Kozinsky-Csányi__DS_632yputkfhpg_0
|
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in Data Studio
Dataset
BOTnet ACAC 2022 train 600K MD
Description
500 decorrelated geometries sampled from 600 K xTB MD run. 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.
Additional details stored in dataset columns prepended with "dataset_".
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/10.48550/arXiv.2205.06643
Original data link
https://github.com/davkovacs/BOTNet-datasets
License
MIT
Number of unique molecular configurations
500
Number of atoms
7500
Elements included
C, H, O
Properties included
energy, atomic forces, cauchy stress
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 train 600K MD. ColabFit, 2023. https://doi.org/10.60732/7239a192
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