Issue 38, 2017

General optimization procedure towards the design of a new family of minimal parameter spin-component-scaled double-hybrid density functional theory

Abstract

A general optimization procedure towards the development and implementation of a new family of minimal parameter spin-component-scaled double-hybrid (mSD) density functional theory (DFT) is presented. The nature of the proposed exchange–correlation functional establishes a methodology with minimal empiricism. This new family of double-hybrid (DH) density functionals is demonstrated using the PBEPBE functional, illustrating the optimization procedure to the mSD-PBEPBE method, and the performance characteristics shown for a set of non-covalent complexes covering a broad regime of weak interactions. With only two parameters, mSD-PBEPBE and its cost-effective counterpart, RI-mSD-PBEPBE, show a mean absolute error of ca. 0.4 kcal mol−1 averaged over 66 weak interacting systems. Following a successive 2D-grid refinement for a CBS extrapolation of the coefficients, the optimization procedure can be recommended for the design and implementation of a variety of additional DH methods using any of the plethora of currently available functionals.

Graphical abstract: General optimization procedure towards the design of a new family of minimal parameter spin-component-scaled double-hybrid density functional theory

Associated articles

Supplementary files

Article information

Article type
Paper
Submitted
19 Jun 2017
Accepted
07 Sep 2017
First published
20 Sep 2017

Phys. Chem. Chem. Phys., 2017,19, 26191-26200

General optimization procedure towards the design of a new family of minimal parameter spin-component-scaled double-hybrid density functional theory

L. M. Roch and K. K. Baldridge, Phys. Chem. Chem. Phys., 2017, 19, 26191 DOI: 10.1039/C7CP04125J

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