Literature DB >> 27080804

New approaches for the calibration of exchange-energy densities in local hybrid functionals.

Toni M Maier1, Matthias Haasler, Alexei V Arbuznikov, Martin Kaupp.   

Abstract

The ambiguity of exchange-energy densities is a fundamental challenge for the development of local hybrid functionals, or of other functionals based on a local mixing of exchange-energy densities. In this work, a systematic construction of semi-local calibration functions (CFs) for adjusting the exchange-energy densities in local hybrid functionals is provided, which directly links a given CF to an underlying semi-local exchange functional, as well as to the second-order gradient expansion of the exchange hole. Using successive steps of integration by parts allows the derivation of correction terms of increasing order, resulting in more and more complicated but also more flexible CFs. We derive explicit first- and second-order CFs (pig1 and pig2) based on B88 generalized-gradient approximation (GGA) exchange, and a first-order CF (tpig1) based on τ-dependent B98 meta-GGA exchange. We combine these CFs with different long-range damping functions and evaluate them for calibration of LDA, B88 GGA, and TPSS meta-GGA exchange-energy densities. Based on a minimization of unphysical nondynamical correlation contributions in three noble-gas dimer potential-energy curves, free parameters in the CFs are optimized, and performance of various approaches in the calibration of different exchange-energy densities is compared. Most notably, the second-order pig2 CF provides the largest flexibility with respect to the diffuseness of the damping function. This suggests that higher-order CFs based on the present integration-by-parts scheme may be particularly suitable for the flexible construction of local hybrid functionals.

Entities:  

Year:  2016        PMID: 27080804     DOI: 10.1039/c6cp00990e

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  3 in total

1.  TURBOMOLE: Modular program suite for ab initio quantum-chemical and condensed-matter simulations.

Authors:  Sree Ganesh Balasubramani; Guo P Chen; Sonia Coriani; Michael Diedenhofen; Marius S Frank; Yannick J Franzke; Filipp Furche; Robin Grotjahn; Michael E Harding; Christof Hättig; Arnim Hellweg; Benjamin Helmich-Paris; Christof Holzer; Uwe Huniar; Martin Kaupp; Alireza Marefat Khah; Sarah Karbalaei Khani; Thomas Müller; Fabian Mack; Brian D Nguyen; Shane M Parker; Eva Perlt; Dmitrij Rappoport; Kevin Reiter; Saswata Roy; Matthias Rückert; Gunnar Schmitz; Marek Sierka; Enrico Tapavicza; David P Tew; Christoph van Wüllen; Vamsee K Voora; Florian Weigend; Artur Wodyński; Jason M Yu
Journal:  J Chem Phys       Date:  2020-05-14       Impact factor: 3.488

2.  Restoring Size Consistency of Approximate Functionals Constructed from the Adiabatic Connection.

Authors:  Stefan Vuckovic; Paola Gori-Giorgi; Fabio Della Sala; Eduardo Fabiano
Journal:  J Phys Chem Lett       Date:  2018-05-29       Impact factor: 6.475

3.  Application of two-component neural network for exchange-correlation functional interpolation.

Authors:  Alexander Ryabov; Iskander Akhatov; Petr Zhilyaev
Journal:  Sci Rep       Date:  2022-08-19       Impact factor: 4.996

  3 in total

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