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20172025
most citedAccurate molecular polarizabilities with coupled-cluster theory and machine learning

209 citations · 510 across the 9 of their papers we have counts for

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physics.chem-ph2021

CASE21: Uniting Non-Empirical and Semi-Empirical Density Functional Approximation Strategies using Constraint-Based Regularization

Zachary M. Sparrow, Brian G. Ernst, Trine K. Quady +1

In this work, we present a general framework that unites the two primary strategies for constructing density functional approximations (DFAs): non-empirical (NE) constraint satisfa…

physics.chem-ph2021★ 33 cited

NENCI-2021 Part I: A Large Benchmark Database of Non-Equilibrium Non-Covalent Interactions Emphasizing Close Intermolecular Contacts

Zachary M. Sparrow, Brian G. Ernst, Paul T. Joo +2

In this work, we present NENCI-2021, a benchmark database of approximately non-equilibrium non-covalent interaction energies for a large and diverse selection of intermolec…

physics.chem-ph2020★ 139 cited

QM7-X: A comprehensive dataset of quantum-mechanical properties spanning the chemical space of small organic molecules

Johannes Hoja, Leonardo Medrano Sandonas, Brian G. Ernst +3

We introduce QM7-X, a comprehensive dataset of 42 physicochemical properties for 4.2 M equilibrium and non-equilibrium structures of small organic molecules with up to se…

physics.chem-ph2020★ 115 cited

Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles

Max Veit, David M. Wilkins, Yang Yang +2

The molecular dipole moment () is a central quantity in chemistry. It is essential in predicting infrared and sum-frequency generation spectra, as well as induction a…

physics.chem-ph2018★ 209 cited

Accurate molecular polarizabilities with coupled-cluster theory and machine learning

David M. Wilkins, Andrea Grisafi, Yang Yang +3

The molecular polarizability describes the tendency of a molecule to deform or polarize in response to an applied electric field. As such, this quantity governs key intra- and inte…