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Physical Chemistry Chemical Physics· 2013Q2

ωB97X-V: A 10-parameter, range-separated hybrid, generalized gradient approximation density functional with nonlocal correlation, designed by a survival-of-the-fittest strategy

Narbe Mardirossian, Martin Head‐Gordon

Short summary

A new 10-parameter density functional, ωB97X-V, was developed using a 'survival-of-the-fittest' strategy, optimizing parameter combinations to achieve superior accuracy in predicting molecular properties.

AI-generated from the title and abstract; the full text is not read.

Key points

  • ωB97X-V is a 10-parameter, range-separated hybrid, generalized gradient approximation density functional.
  • It incorporates nonlocal correlation (VV10) and optimizes exchange and correlation parameters.
  • A 'survival-of-the-fittest' strategy evaluated 16,383 parameter combinations to find the optimal functional.
  • The functional was validated on test sets, including dimer geometries and geometry datasets.

AI-generated from the title and abstract; the full text is not read.

Abstract

A 10-parameter, range-separated hybrid (RSH), generalized gradient approximation (GGA) density functional with nonlocal correlation (VV10) is presented. Instead of truncating the B97-type power series inhomogeneity correction factors (ICF) for the exchange, same-spin correlation, and opposite-spin correlation functionals uniformly, all 16,383 combinations of the linear parameters up to fourth order (m = 4) are considered. These functionals are individually fit to a training set and the resulting parameters are validated on a primary test set in order to identify the 3 optimal ICF expansions. Through this procedure, it is discovered that the functional that performs best on the training and primary test sets has 7 linear parameters, with 3 additional nonlinear parameters from range-separation and nonlocal correlation. The resulting density functional, ωB97X-V, is further assessed on a secondary test set, the parallel-displaced coronene dimer, as well as several geometry datasets. Furthermore, the basis set dependence and integration grid sensitivity of ωB97X-V are analyzed and documented in order to facilitate the use of the functional.

The authors' abstract, as published at the source. Physical Chemistry Chemical Physics, 2013 · DOI ↗

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Field: Spectroscopy

SpectroscopyChemistry