2022
DOI: 10.1088/2516-1075/ac4eeb
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Non-covalent interactions between molecular dimers (S66) in electric fields

Abstract: Fine tuning and microscopic control of van der Waals interactions through oriented external electric fields (OEEF) mandates an accurate and systematic understanding of intermolecular response properties. Having taken exploratory steps into this direction, we present a systematic study of interaction induced dipole electric properties of all molecular dimers in the S66 set, relying on CCSD(T)-F12b/aug-cc-pVDZ-F12 as reference level of theory. For field strengths up to $\approx$5 GV m$^{-1}$ the interaction indu… Show more

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“…Our initial generation of machine-learned nonclassical-energy functional theory (ML-NEFT) was trained on the problem of predicting carbene singlet–triplet energy gaps using the recently published QMSpin database, 99 and we obtained mean absolute errors less than 0.05 eV on test data with a robust degree of active space independence. 100 While these results provide a proof of concept, obtaining a broadly useful new functional will require the training and test data to be expanded to a much larger range of data, and we are currently pursuing this direction.…”
Section: Machine-learned Functionalsmentioning
confidence: 99%
“…Our initial generation of machine-learned nonclassical-energy functional theory (ML-NEFT) was trained on the problem of predicting carbene singlet–triplet energy gaps using the recently published QMSpin database, 99 and we obtained mean absolute errors less than 0.05 eV on test data with a robust degree of active space independence. 100 While these results provide a proof of concept, obtaining a broadly useful new functional will require the training and test data to be expanded to a much larger range of data, and we are currently pursuing this direction.…”
Section: Machine-learned Functionalsmentioning
confidence: 99%