SAIT Semiconductors -- ColabFit
Collection
Datasets from SAIT Semiconductors (https://github.com/SAITPublic/MLFF-Framework) in ColabFit format
•
10 items
•
Updated
Datasets:
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PO_1001850922090604994815618
|
10018509220906049948156184262047093898215090650481222161254284301084261941117759337979233176647918817362543543247023261926084294230610470836341202339408886
| 2025-04-16T18:40:27
|
DS_ppk44zeithjj_0
| 1
|
VASP
|
DFT-PBE
| -877.422523
|
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] | true
| null | null | null | null | null | 16.78666
| 3.812948
| null |
CO_3463416934692869865838314
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|
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[
true,
true,
true
] |
Hf32O64
|
HfO2
|
A2B
|
[
"Hf",
"O"
] |
[
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0.6666666666666666
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| 2
| 3
|
[
1,
1,
1
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[
"sait_semiconductors__HfO__Trainset_14420",
"sait_semiconductors__HfO_raw__Random__6_1674"
] | null |
data/MD/1512/MD_3220989785209901592711512.json
| null | null | null |
{"input": {"ediff": {"value": 0.002, "units": "eV"}, "ediffg": {"value": 0.05, "units": "eV/angstrom"}}, "hash": "3220989785209901592711512060749399143158255874818296585998205381974360544737732089417139158924615074837033519915139922028460460046863434186179457886861933", "id": "MD_3220989785209901592711512"}
|
PO_1001718358131863974089039
|
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| 2025-04-16T16:10:41
|
DS_ppk44zeithjj_0
| 1
|
VASP
|
DFT-PBE
| -890.470644
|
[
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DS_ppk44zeithjj_0
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A2B
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[
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[
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data/MD/1512/MD_3220989785209901592711512.json
| null | null | null |
{"input": {"ediff": {"value": 0.002, "units": "eV"}, "ediffg": {"value": 0.05, "units": "eV/angstrom"}}, "hash": "3220989785209901592711512060749399143158255874818296585998205381974360544737732089417139158924615074837033519915139922028460460046863434186179457886861933", "id": "MD_3220989785209901592711512"}
|
End of preview. Expand
in Data Studio
Cite this dataset
Kim, G., Na, B., Kim, G., Cho, H., Kang, S., Lee, H. S., Choi, S., Kim, H., Lee, S., and Kim, Y. SAIT semiconductors ACS 2023 HfO train. ColabFit, 2024. https://doi.org/10.60732/495b736b
Cite this dataset
Kim, G., Na, B., Kim, G., Cho, H., Kang, S., Lee, H. S., Choi, S., Kim, H., Lee, S., and Kim, Y. SAIT semiconductors ACS 2023 HfO train. ColabFit, 2024. https://doi.org/10.60732/495b736bThis 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_ppk44zeithjj_0
Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.
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Dataset Name
SAIT semiconductors ACS 2023 HfO train
Description
Training configurations from the SAIT_semiconductors_ACS_2023_HfO dataset. This dataset contains HfO configurations from the SAIT semiconductors datasets. SAIT semiconductors datasets comprise two rich datasets for the important semiconductor thin film materials silicon nitride (SiN) and hafnium oxide (HfO), gathered for the development of MLFFs. DFT simulations were conducted under various conditions that include differing initial structures, stoichiometry, temperature, strain, and defects.
Dataset authors
Geonu Kim, Byunggook Na, Gunhee Kim, Hyuntae Cho, Seung-Jin Kang, Hee Sun Lee, Saerom Choi, Heejae Kim, Seungwon Lee, Yongdeok Kim
Publication
https://openreview.net/forum?id=hr9Bd1A9Un
Original data link
https://github.com/SAITPublic/MLFF-Framework
License
CC-BY-4.0
Number of unique molecular configurations
27958
Number of atoms
2683968
Elements included
Hf, O
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
- 14
Size of downloaded dataset files:
126 MB
Size of the auto-converted Parquet files:
126 MB
Number of rows:
27,959