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changzhiai/dft-databases

Database DFT trajectories grouped by exchange-correlation functional. All files are ASE .traj format. Each file is a single source database and you can directly use it to train your own model. Potentials trained on these databases with the IANN trainer are released at changzhiai/iann-foundation-models; see the documentation. PBE File Name File Size Image Size Functional Details Year Source MPtrj.traj 3.50 GB 1,579,091 PBE MPtrj dataset 2022 Materials… See the full description on the dataset page: https://huggingface.co/datasets/changzhiai/dft-databases.

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Database

DFT trajectories grouped by exchange-correlation functional. All files are ASE .traj format. Each file is a single source database and you can directly use it to train your own model.

Potentials trained on these databases with the IANN trainer are released at changzhiai/iann-foundation-models; see the documentation.

PBE

File NameFile SizeImage SizeFunctionalDetailsYearSource
MPtrj.traj3.50 GB1,579,091PBEMPtrj dataset2022Materials Project
sAlex.traj12.49 GB10,423,284PBEsAlex dataset, version of the original Alexandria2024Alexandria
Omat24.traj18.27 GB11,274,650PBEOMat24 dataset2024OMat24
MatPES.traj554 MB434,092PBEMatPES dataset2025MatPES
OC22.traj47.27 GB8,199,197PBEOC22 dataset2023Open Catalyst

RPBE

File NameFile SizeImage SizeFunctionalDetailsYearSource
OC20.traj10.85 GB1,999,572RPBEOC20 dataset (2M subset)2021Open Catalyst
OC25.traj74.86 GB7,370,461RPBEOC25 dataset (solid-liquid interfaces)2025Open Catalyst

r2SCAN

File NameFile SizeImage SizeFunctionalDetailsYearSource
MPr2SCAN.traj414 MB238,241r2SCANMP dataset with r2SCAN functional2025Materials Project
MatPESr2SCAN.traj472 MB387,306r2SCANMatPES dataset with r2SCAN functional2025MatPES

Usage

python
from ase.io import Trajectory

traj = Trajectory("PBE/MPtrj.traj")
print(len(traj))
atoms = traj[0]
print(atoms.get_potential_energy(), atoms.get_forces())

Note

Outlier structures were removed from each database (less than 1%).