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Abstract
We introduce QM7-X, a comprehensive dataset of 42 physicochemical properties for ≈4.2 million equilibrium and non-equilibrium structures of small organic molecules with up to seven non-hydrogen (C, N, O, S, Cl) atoms. To span this fundamentally important region of chemical compound space (CCS), QM7-X includes an exhaustive sampling of (meta-)stable equilibrium structures—comprised of constitutional/structural isomers and stereoisomers, e.g., enantiomers and diastereomers (including cis-/trans- and conformational isomers)—as well as 100 non-equilibrium structural variations thereof to reach a total of ≈4.2 million molecular structures. Computed at the tightly converged quantum-mechanical PBE0+MBD level of theory, QM7-X contains global (molecular) and local (atom-in-a-molecule) properties ranging from ground state quantities (such as atomization energies and dipole moments) to response quantities (such as polarizability tensors and dispersion coefficients). By providing a systematic, extensive, and tightly-converged dataset of quantum-mechanically computed physicochemical properties, we expect that QM7-X will play a critical role in the development of next-generation machine-learning based models for exploring greater swaths of CCS and performing in silico design of molecules with targeted properties.
Measurement(s) | Chemical Properties • Physical Properties |
Technology Type(s) | quantum chemistry computational method |
Factor Type(s) | molecule |
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1 University of Luxembourg, Department of Physics and Materials Science, Luxembourg City, Luxembourg (GRID:grid.16008.3f) (ISNI:0000 0001 2295 9843); University of Graz, Institute of Chemistry, Graz, Austria (GRID:grid.5110.5) (ISNI:0000000121539003)
2 University of Luxembourg, Department of Physics and Materials Science, Luxembourg City, Luxembourg (GRID:grid.16008.3f) (ISNI:0000 0001 2295 9843)
3 Cornell University, Department of Chemistry and Chemical Biology, Ithaca, USA (GRID:grid.5386.8) (ISNI:000000041936877X)
4 Argonne National Laboratory, Computational Science Division, Lemont, USA (GRID:grid.187073.a) (ISNI:0000 0001 1939 4845)