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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
sequence
pbc
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dimension_types
sequence
nperiodic_dimensions
int32
structure_hash
string
multiplicity
int32
software
string
method
string
adsorption_energy
float64
atomic_forces
sequence
atomization_energy
float64
cauchy_stress
sequence
cauchy_stress_volume_normalized
bool
electronic_band_gap
float64
electronic_band_gap_type
string
energy
float64
formation_energy
float64
max_force_norm
float64
mean_force_norm
float64
property_object_metadata
string
property_object_metadata_id
string
property_object_last_modified
timestamp[ns]
property_object_hash
string
property_object_id
string
configuration_metadata
string
configuration_metadata_id
string
configuration_labels
sequence
configuration_names
sequence
configuration_dataset_ids
sequence
configuration_last_modified
timestamp[ns]
configuration_hash
string
configuration_id
string
dataset_name
string
dataset_authors
sequence
dataset_description
string
dataset_elements
sequence
dataset_nelements
int32
dataset_nproperty_objects
int64
dataset_nconfigurations
int32
dataset_nsites
int64
dataset_adsorption_energy_count
int64
dataset_atomic_forces_count
int64
dataset_atomization_energy_count
int64
dataset_cauchy_stress_count
int64
dataset_electronic_band_gap_count
int64
dataset_energy_count
int64
dataset_energy_mean
float64
dataset_energy_variance
float64
dataset_formation_energy_count
int64
dataset_last_modified
timestamp[ns]
dataset_dimension_types
sequence
dataset_nperiodic_dimensions
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
2024-08-16T14:52:12
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MD_1086845055867124744315202
null
[ "iso_atoms_3", "isolated_2" ]
[ "DS_e22u3j5sbilx_0", "DS_gaq0fec8i6ik_0" ]
2023-12-01T23:31:06
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3BPA_isolated_atoms
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
Reference C, H, O, and N atoms from 3BPA, used to showcase the performance of linear atomic cluster expansion (ACE) force fields in a machine learning model to predict the potential energy surfaces of organic molecules.
[ "N", "H", "C", "O" ]
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3BPA_isolated_atoms__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_gaq0fec8i6ik_0
C
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MD_1086845055867124744315202
2024-08-16T15:03:59
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MD_1086845055867124744315202
null
[ "iso_atoms_0", "isolated_1" ]
[ "DS_e22u3j5sbilx_0", "DS_gaq0fec8i6ik_0" ]
2023-12-01T23:31:06
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CO_2115270494322288387356096
3BPA_isolated_atoms
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
Reference C, H, O, and N atoms from 3BPA, used to showcase the performance of linear atomic cluster expansion (ACE) force fields in a machine learning model to predict the potential energy surfaces of organic molecules.
[ "N", "H", "C", "O" ]
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DS_gaq0fec8i6ik_0
3BPA_isolated_atoms__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_gaq0fec8i6ik_0
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2024-08-16T14:32:35
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MD_1421809675500575071475591
null
[ "iso_atoms_1", "isolated_0", "orbnet-denali_457680" ]
[ "DS_e22u3j5sbilx_0", "DS_5obi9nxcgmof_0", "DS_gaq0fec8i6ik_0" ]
2023-12-05T16:40:37
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3BPA_isolated_atoms
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
Reference C, H, O, and N atoms from 3BPA, used to showcase the performance of linear atomic cluster expansion (ACE) force fields in a machine learning model to predict the potential energy surfaces of organic molecules.
[ "N", "H", "C", "O" ]
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DS_gaq0fec8i6ik_0
3BPA_isolated_atoms__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_gaq0fec8i6ik_0
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MD_1086845055867124744315202
2024-08-16T15:26:09
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MD_1086845055867124744315202
null
[ "iso_atoms_2" ]
[ "DS_gaq0fec8i6ik_0" ]
2023-12-01T23:03:09
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3BPA_isolated_atoms
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
Reference C, H, O, and N atoms from 3BPA, used to showcase the performance of linear atomic cluster expansion (ACE) force fields in a machine learning model to predict the potential energy surfaces of organic molecules.
[ "N", "H", "C", "O" ]
4
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{'source-publication': 'https://doi.org/10.1021/acs.jctc.1c00647', 'source-data': 'https://doi.org/10.1021/acs.jctc.1c00647', 'other': None}
10.60732/bfdb46b7
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DS_gaq0fec8i6ik_0
3BPA_isolated_atoms__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_gaq0fec8i6ik_0

Dataset

3BPA isolated atoms

Description

Reference C, H, O, and N atoms from 3BPA, used to showcase the performance of linear atomic cluster expansion (ACE) force fields in a machine learning model to predict the potential energy surfaces of organic molecules.

Additional details stored in dataset columns prepended with "dataset_".

Dataset authors

Dávid Péter Kovács, Cas van der Oord, Jiri Kucera, Alice E. A. Allen, Daniel J. Cole, Christoph Ortner, Gábor Csányi

Publication

https://doi.org/10.1021/acs.jctc.1c00647

Original data link

https://doi.org/10.1021/acs.jctc.1c00647

License

CC-BY-4.0

Number of unique molecular configurations

4

Number of atoms

4

Elements included

N, H, C, O

Properties included

energy, atomic forces, cauchy stress

Cite this dataset

Kovács, D. P., Oord, C., Kucera, J., Allen, A. E. A., Cole, D. J., Ortner, C., and Csányi, G. 3BPA isolated atoms. ColabFit, 2023. https://doi.org/10.60732/bfdb46b7

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