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2025-04-16T16:30:05
DS_0od3fns1ap8a_0
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103.257568
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2025-04-16T20:09:34
DS_0od3fns1ap8a_0
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2025-04-16T16:23:19
DS_0od3fns1ap8a_0
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2025-04-16T18:14:17
DS_0od3fns1ap8a_0
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2025-04-16T16:28:19
DS_0od3fns1ap8a_0
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2025-04-16T16:10:07
DS_0od3fns1ap8a_0
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2025-04-16T21:21:56
DS_0od3fns1ap8a_0
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2025-04-16T19:49:49
DS_0od3fns1ap8a_0
1
VASP
DFT-PBE
103.257568
[]
[ [ -0.0000366492656705384, -0.000002302871763784771, 2.5014806465506534e-7 ], [ -0.000002302871763784771, -0.000037971224681420265, -9.079433894137105e-7 ], [ 2.5014806465506534e-7, -9.079433894137105e-7, -0.00003431235955890433 ] ]
true
null
null
null
null
null
null
null
null
CO_9697295437628603161348121
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[ [ 15.927500000000002, 0, 0 ], [ 0, 15.927500000000002, 0 ], [ 0, 0, 15.927500000000002 ] ]
[ [ -0.12115642, 0.00341767, 0.02251891 ], [ 1.59485123, 1.46439955, 1.6442731 ], [ 0.10439845, -0.05696536, 3.10511196 ], [ 1.6295913, 1.55126893, 4.93442538 ], [ 0.05758562, -0.14361496, 6.35059146 ], [ 1.71387397, 1.48430154, ...
[ true, true, true ]
W249
W
A
[ "W" ]
[ 1 ]
[ 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, ...
249
1
3
[ 1, 1, 1 ]
[ "vac_MD_train_1" ]
null
data/MD/5984/MD_3548545595126629998005984.json
data/MD/3559/MD_1229285506985828303433559.json
null
{"momenta": [[1.83166579, 0.95996279, 0.55425298], [3.30428392, 0.60949573, 1.9071339], [-5.32635199, -2.76704737, 0.13516514], [-3.73723376, -7.66075078, -3.77002298], [1.99505911, -0.93140804, -3.85292992], [0.69408377, 3.05796464, -0.4832839], [-4.36214346, -2.24650095, -1.74100873], [4.13395633, -4.44775145, -5.230...
{"input": {"energy-cutoff": {"value": 550, "units": "eV"}, "temperature": {"field": "Temperature"}}, "hash": "3548545595126629998005984397126364668808858985550397053498892163904128008367446985813673375642622902037879546304694855500144812290235844697270621382042150", "id": "MD_3548545595126629998005984"}

Cite this dataset Onat, B., Ortner, C., and Kermode, J. R. W LML-retrain bulk MD test. ColabFit, 2023. https://doi.org/10.60732/9d48595f

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_0od3fns1ap8a_0

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Dataset Name

W LML-retrain bulk MD test

Description

Test set from W_LML-retrain dataset, containing bulk tungsten calculations. The W_LML-retrain dataset contains DFT calculations used in testing a linear-in-descriptor machine learning potential that accounts for dislocation-defect interactions in tungsten. Density functional simulations were performed using VASP. The PBE generalised gradient approximation was used to describe effects of electron exchange and correlation together with a projector augmented wave (PAW) basis set with a cut-off energy of 550 eV. Occupancies were smeared with a Methfessel-Paxton scheme of order one with a 0.1 eV smearing width. The Brillouin zone was sampled with a Monkhorst-Pack k-point grid for the 2D cluster simulations periodic along the dislocation line and a single k-point was used for the calculations with 3D spherical QM regions. The values of these parameters were chosen after a series of convergence tests on forces with a tolerance of a few meV/Å.

Dataset authors

Berk Onat, Christoph Ortner, James R. Kermode

Publication

https://doi.org/10.1016/j.actamat.2023.118734

Original data link

https://github.com/marseille-matmol/LML-retrain

License

MIT

Number of unique molecular configurations

8

Number of atoms

1996

Elements included

W

Properties included

energy, 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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