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Cite this dataset
Ramakrishnan, R., Dral, P. O., Rupp, M., and Lilienfeld, O. A. JARVIS-QM9-DGL. ColabFit, 2023. https://doi.org/10.60732/403cd4f2
Cite this dataset
Ramakrishnan, R., Dral, P. O., Rupp, M., and Lilienfeld, O. A. JARVIS-QM9-DGL. ColabFit, 2023. https://doi.org/10.60732/403cd4f2This 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_tat5i46x3hkr_0
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https://materials.colabfit.org
Dataset Name
JARVIS-QM9-DGL
Description
The JARVIS-QM9-DGL dataset is part of the joint automated repository for various integrated simulations (JARVIS) database. This dataset contains configurations from the QM9 dataset, originally created as part of the datasets at quantum-machine.org, as implemented with the Deep Graph Library (DGL) Python package. Units for r2 (electronic spatial extent) are a0^2; for alpha (isotropic polarizability), a0^3; for mu (dipole moment), D; for Cv (heat capacity), cal/mol K. Units for all other properties are eV. JARVIS is a set of tools and collected datasets built to meet current materials design challenges.
Dataset authors
Raghunathan Ramakrishnan, Pavlo O. Dral, Matthias Rupp, O. Anatole von Lilienfeld
Publication
https://doi.org/10.1038/sdata.2014.22
Original data link
https://ndownloader.figshare.com/files/28541196
License
CC-BY-4.0
Number of unique molecular configurations
130831
Number of atoms
2358210
Elements included
C, F, H, N, O
Properties included
energy
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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