colabfit/OMat24_train_aimd_from_PBE_3000_npt

<details><summary>Cite this dataset </summary>Barroso-Luque, L., Shuaibi, M., Fu, X., Wood, B. M., Dzamba, M., Gao, M., Rizvi, A., Zitnick, C. L., and Ulissi, Z. W. OMat24 train aimd from PBE 3000 npt. ColabFit, 2025. https://doi.org/10.60732/edd12490</details>

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/DS6xvvh8yl7rfd0

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Dataset Name

OMat24 train aimd from PBE 3000 npt

Description

The aimd-from-PBE-3000-npt training split of OMat24 (Open Materials 2024). OMat24 is a large-scale open dataset of density functional theory (DFT) calculations. The dataset is available in sub-datasets and subsampled sub-datasets based on the structure generation strategy used. There are two main splits in OMat24: train and validation, each divided into the aforementioned subsampling and sub-datasets.

Dataset authors

Luis Barroso-Luque, Muhammed Shuaibi, Xiang Fu, Brandon M. Wood, Misko Dzamba, Meng Gao, Ammar Rizvi, C. Lawrence Zitnick, Zachary W. Ulissi

Publication

https://doi.org/10.48550/arXiv.2410.12771

Original data link

https://fair-chem.github.io/inorganic_materials/datasets/omat24.html

License

CC-BY-4.0

Number of unique molecular configurations

6076290

Number of atoms

411540573

Elements included

Ac, Ag, Al, Ar, As, Au, B, Ba, Be, Bi, Br, C, Ca, Cd, Ce, Cl, Co, Cr, Cs, Cu, Dy, Er, Eu, F, Fe, Ga, Gd, Ge, H, He, Hf, Hg, Ho, I, In, Ir, K, Kr, La, Li, Lu, Mg, Mn, Mo, N, Na, Nb, Nd, Ne, Ni, Np, O, Os, P, Pa, Pb, Pd, Pm, Pr, Pt, Pu, Rb, Re, Rh, Ru, S, Sb, Sc, Se, Si, Sm, Sn, Sr, Ta, Tb, Tc, Te, Th, Ti, Tl, Tm, U, V, W, Xe, Y, Yb, Zn, Zr

Properties included

energy, atomic forces, cauchy stress <br> <hr>

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). <br>

ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files:

• —Parquet parsing: example code
• —Dataset info schema
• —Configuration schema
• —Configuration set schema
• —Configuration set to configuration mapping schema