sGDML -- ColabFit
Collection
Datasets from sGDML (www.sgdml.org) in ColabFit format
•
11 items
•
Updated
property_id
string | property_hash
string | last_modified
timestamp[us] | dataset_id
string | multiplicity
int32 | software
string | method
string | energy
float64 | atomic_forces
list | cauchy_stress
list | cauchy_stress_volume_normalized
bool | electronic_band_gap
float64 | electronic_band_gap_type
string | formation_energy
float64 | adsorption_energy
float64 | atomization_energy
float64 | max_force_norm
float64 | mean_force_norm
float64 | energy_above_hull
float64 | configuration_id
string | configuration_hash
string | structure_hash
string | cell
list | positions
list | pbc
list | chemical_formula_hill
string | chemical_formula_reduced
string | chemical_formula_anonymous
string | elements
list | elements_ratios
list | atomic_numbers
list | nsites
int32 | nelements
int32 | nperiodic_dimensions
int32 | dimension_types
list | names
list | labels
list | property_metadata_path
string | configuration_metadata_path
string | hash
string | configuration_metadata
string | property_metadata
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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data/MD/9219/MD_5605487545401078223069219.json
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End of preview. Expand
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Cite this dataset
Chmiela, S., Sauceda, H. E., Müller, K., and Tkatchenko, A. sGDML Malonaldehyde ccsdt NC2018 train. ColabFit, 2023. https://doi.org/10.60732/b53c02ad
Cite this dataset
Chmiela, S., Sauceda, H. E., Müller, K., and Tkatchenko, A. sGDML Malonaldehyde ccsdt NC2018 train. ColabFit, 2023. https://doi.org/10.60732/b53c02adThis 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_201vhvywll83_0
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Dataset Name
sGDML Malonaldehyde ccsdt NC2018 train
Description
The train set of a train/test pair from the malonaldehyde dataset from sGDML. To create the coupled cluster datasets, the data used for training the models were created by running ab initio MD in the NVT ensemble using the Nosé-Hoover thermostat at 500 K during a 200 ps simulation with a resolution of 0.5 fs. Energies and forces were recalculated using all-electron coupled cluster with single, double and perturbative triple excitations (CCSD(T)). The Dunning correlation-consistent basis set cc-pVDZ was used for malonaldehyde. All calculations were performed with the Psi4 software suite.
Dataset authors
Stefan Chmiela, Huziel E. Sauceda, Klaus-Robert Müller, Alexandre Tkatchenko
Publication
https://doi.org/10.1038/s41467-018-06169-2
Original data link
License
MIT
Number of unique molecular configurations
1000
Number of atoms
9000
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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Size of downloaded dataset files:
814 kB
Size of the auto-converted Parquet files:
814 kB
Number of rows:
1,001