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PO_1002111619957103665949665
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2025-04-16T16:03:51
DS_r3hav37ufnmb_0
1
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PBEsol
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Ge8
Ge
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data/MD/9806/MD_2127439833971556448789806.json
data/MD/9451/MD_6349183166439829241359451.json
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PO_4920028642960854452419221
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2025-04-16T16:29:11
DS_r3hav37ufnmb_0
1
CASTEP
PBEsol
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GeTe
AB
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data/MD/9806/MD_2127439833971556448789806.json
data/MD/6820/MD_4012602787452253177196820.json
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2025-04-16T17:31:19
DS_r3hav37ufnmb_0
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Te3
Te
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data/MD/9806/MD_2127439833971556448789806.json
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2025-04-16T16:07:11
DS_r3hav37ufnmb_0
1
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Ge28Sb56Te112
GeSb2Te4
A4B2C
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data/MD/9806/MD_2127439833971556448789806.json
data/MD/5889/MD_3471349848201599019655889.json
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2025-04-16T15:45:17
DS_r3hav37ufnmb_0
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Ge48Sb32Te96
Ge3Sb2Te6
A6B3C2
[ "Ge", "Sb", "Te" ]
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2025-04-16T16:50:51
DS_r3hav37ufnmb_0
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2025-04-16T15:44:09
DS_r3hav37ufnmb_0
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2025-04-16T18:32:26
DS_r3hav37ufnmb_0
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GeSb2Te4
A4B2C
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2025-04-16T21:09:01
DS_r3hav37ufnmb_0
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2025-04-16T17:07:04
DS_r3hav37ufnmb_0
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2025-04-16T22:04:30
DS_r3hav37ufnmb_0
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2025-04-16T15:43:10
DS_r3hav37ufnmb_0
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2025-04-16T21:52:07
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2025-04-16T16:08:10
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null
data/MD/9806/MD_2127439833971556448789806.json
data/MD/8542/MD_1323579154356957427938542.json
null
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2025-04-16T16:32:50
DS_r3hav37ufnmb_0
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2025-04-16T17:29:28
DS_r3hav37ufnmb_0
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Ge18Sb18Te45
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[ "Ge", "Sb", "Te" ]
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data/MD/9806/MD_2127439833971556448789806.json
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{"input": {"energy-cutoff": {"value": 600, "units": "eV"}, "pseudopotential": "ultrasoft", "scf-convergence": {"value": 1e-06, "units": "eV"}}, "hash": "2127439833971556448789806564301716500022852324897694830653033720714133886944194651353852313458749271670266058258980838837403038732263847875654974841319928", "id": "MD_2127439833971556448789806"}
PO_1005171096526298154448412
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2025-04-16T17:32:46
DS_r3hav37ufnmb_0
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PBEsol
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Ge8
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data/MD/9806/MD_2127439833971556448789806.json
data/MD/9451/MD_6349183166439829241359451.json
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{"config-type": "cryst", "masses": [72.63, 72.63, 72.63, 72.63, 72.63, 72.63, 72.63, 72.63], "sub-config": "conv_ele_cryst", "hash": "6349183166439829241359451791502533074712440869256473258456018648667318164169179950672651230309823549421286466339458593859063558119778084253780002125786382", "id": "MD_6349183166439829241359451"}
{"input": {"energy-cutoff": {"value": 600, "units": "eV"}, "pseudopotential": "ultrasoft", "scf-convergence": {"value": 1e-06, "units": "eV"}}, "hash": "2127439833971556448789806564301716500022852324897694830653033720714133886944194651353852313458749271670266058258980838837403038732263847875654974841319928", "id": "MD_2127439833971556448789806"}
End of preview. Expand in Data Studio

Cite this dataset Zhou, Y., Zhang, W., Ma, E., and Deringer, V. L. GST GAP 22 main. ColabFit, 2023. https://doi.org/10.60732/f2d6e02c

This 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_r3hav37ufnmb_0

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Dataset Name

GST GAP 22 main

Description

The main training dataset for GST_GAP_22, calculated using the PBEsol functional. 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

2690

Number of atoms

341004

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. If cs/ 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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