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] | null | data/MD/9619/MD_1300441029603274114729619.json | null | null | null | {"basis_set": "def2-TZVPD", "charge": -1, "composition": "C5H9O1S1", "data_id": "reactivity", "homo_energy": [-2.476943624254053, 0.059783415095534836], "homo_lumo_gap": [5.99415132483364, 3.2372569611608975], "input": "RI-J, COSX, DEFGRID3", "integrated_densities": [31.999988910119, 31.999511498876, 63.999500408995], "lowdin_charges": [-0.959965, -0.167174, -0.147062, -0.179947, -0.425101, -0.060539, 0.519429, 0.042892, 0.000413, 0.068088, 0.072469, 0.080511, 0.003382, 0.046496, 0.065849, 0.04026], "lowdin_spins": [-0.266746, 0.039078, 0.044098, 0.047549, 0.346984, -0.127967, -0.135336, -0.001814, -0.000998, 0.016957, 0.018153, 0.002786, -0.000846, 2.3e-05, 0.013335, 0.004744], "mulliken_charges": [0.187358, -1.218974, -1.33272, -1.583355, 0.829642, -0.313753, -0.4081, 0.322956, 0.185631, 0.321211, 0.315884, 0.216162, 0.413708, 0.433618, 0.290817, 0.339915], "mulliken_spins": [-0.603031, -0.058588, 0.012288, -0.06688, 0.540721, 0.102787, -0.040141, 0.005322, 0.002221, 0.034519, 0.022699, 0.007676, -0.001955, 0.003674, 0.027606, 0.011082], "n_basis": 352, "n_scf_steps": 57, "nbo_charges": [0.26831, -0.66131, -0.63166, -0.6503, -0.09498, -0.57949, -0.25283, 0.19934, 0.21459, 0.14655, 0.127, 0.19306, 0.19278, 0.19263, 0.14787, 0.18844], "nbo_spins": [-0.35392, -0.02276, -0.02578, -0.02084, 0.50339, -0.10944, -0.08817, -0.00057, 0.00354, 0.0334, 0.03855, 0.00423, 0.00126, 0.00086, 0.03002, 0.00623], "nl_energy": 6.81705639856958, "num_atoms": 16, "num_ecp_electrons": 0, "num_electrons": 64, "property_keys": {"atomic-forces": "forces", "energy": "energy"}, "reference_source": null, "s_squared": 0.592468, "s_squared_dev": 0.592468, "source": "ani1xbb/aniBB_016_261963_-1_1/orca.tar.zst", "spin": 1, "unrestricted": true, "warnings": ["B97M-V or wB97M-V functional requested.libXC variant has now been activated.Any manually given DFX/HFX/RangeSep scaling parameters are IGNORED!", "Analytic gradients for DFT-NL dispersion can only be done using the self-consistent method,Switching to SCNL", "Self-consistent DFT-NL dispersion not compatible with AutoTRAH.Switching AutoTRAH off"], "hash": "13004410296032741147296195839238274290628592983526188917729906266382412115448200454735381905556358183346469863347851568919807149324224509675966420825807441", "id": "MD_1300441029603274114729619"} |
Cite this dataset
Levine, D. S., Shuaibi, M., Spotte-Smith, E. W. C., Taylor, M. G., Hasyim, M. R., Michel, K., Batatia, I., Csányi, G., Dzamba, M., Eastman, P., Frey, N. C., Fu, X., Gharakhanyan, V., Krishnapriyan, A. S., Rackers, J. A., Raja, S., Rizvi, A., Rosen, A. S., Ulissi, Z., Vargas, S., Zitnick, C. L., Blau, S. M., and Wood, B. M. OMol25 train 4M. ColabFit, 2025. https://doi.org/10.60732/b6f9382a
Cite this dataset
Levine, D. S., Shuaibi, M., Spotte-Smith, E. W. C., Taylor, M. G., Hasyim, M. R., Michel, K., Batatia, I., Csányi, G., Dzamba, M., Eastman, P., Frey, N. C., Fu, X., Gharakhanyan, V., Krishnapriyan, A. S., Rackers, J. A., Raja, S., Rizvi, A., Rosen, A. S., Ulissi, Z., Vargas, S., Zitnick, C. L., Blau, S. M., and Wood, B. M. OMol25 train 4M. ColabFit, 2025. https://doi.org/10.60732/b6f9382aThis 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_k8m3sm6ves4u_0
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Dataset Name
OMol25 train 4M
Description
The Train 4M set from OMol25 (~4 million structure training subset). From the dataset creator: OMol25 represents the largest high quality molecular DFT dataset spanning biomolecules, metal complexes, electrolytes, and community datasets. OMol25 was generated at the ω B97M-V/def2-TZVPD level of theory.
Dataset authors
Daniel S. Levine, Muhammed Shuaibi, Evan Walter Clark Spotte-Smith, Michael G. Taylor, Muhammad R. Hasyim, Kyle Michel, Ilyes Batatia, Gábor Csányi, Misko Dzamba, Peter Eastman, Nathan C. Frey, Xiang Fu, Vahe Gharakhanyan, Aditi S. Krishnapriyan, Joshua A. Rackers, Sanjeev Raja, Ammar Rizvi, Andrew S. Rosen, Zachary Ulissi, Santiago Vargas, C. Lawrence Zitnick, Samuel M. Blau, Brandon M. Wood
Publication
https://doi.org/10.48550/arXiv.2505.08762
Original data link
https://huggingface.co/facebook/OMol25
License
CC-BY-4.0
Number of unique molecular configurations
3986754
Number of atoms
218680957
Elements included
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, O, Os, P, Pb, Pd, Pm, Pr, Pt, Rb, Re, Rh, Ru, S, Sb, Sc, Se, Si, Sm, Sn, Sr, Ta, Tb, Tc, Te, Ti, Tl, Tm, V, W, Xe, Y, Yb, Zn, Zr
Properties included
energy, atomic forces
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:
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