GST GAP 22 -- ColabFit
Collection
Datasets from GST GAP 22 in ColabFit format • 3 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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End of preview. Expand in Data Studio
Cite this dataset
Zhou, Y., Zhang, W., Ma, E., and Deringer, V. L. GST GAP 22 extended. ColabFit, 2023. https://doi.org/10.60732/37c76fa8
Cite this dataset
Zhou, Y., Zhang, W., Ma, E., and Deringer, V. L. GST GAP 22 extended. ColabFit, 2023. https://doi.org/10.60732/37c76fa8This 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_efcq7a0h6z5w_0
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Dataset Name
GST GAP 22 extended
Description
The extended training dataset for GST_GAP_22, calculated using the PBEsol functional. New configurations, simulated under external electric fields, were labelled with DFT and added to the original reference database GST-GAP-22 contains configurations of phase-change materials on the quasi-binary GeTe-Sb2Te3 (GST) line of chemical compositions. Data was used for training a machine learning interatomic potential to simulate a range of germanium-antimony-tellurium compositions under realistic device conditions.
Dataset authors
Yuxing Zhou, Wei Zhang, Evan Ma, Volker L. Deringer
Publication
https://doi.org/10.1038/s41928-023-01030-x
Original data link
https://doi.org/10.5281/zenodo.8208202
License
CC-BY-4.0
Number of unique molecular configurations
2913
Number of atoms
398991
Elements included
Ge, Sb, Te
Properties included
energy, atomic forces, cauchy stress
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:
- Downloads last month
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Size of downloaded dataset files:
13.8 MB
Size of the auto-converted Parquet files:
13.8 MB
Number of rows:
2,916