Literature DB >> 29257687

Rational Density Functional Selection Using Game Theory.

Suzanne McAnanama-Brereton1, Mark P Waller2.   

Abstract

Theoretical chemistry has a paradox of choice due to the availability of a myriad of density functionals and basis sets. Traditionally, a particular density functional is chosen on the basis of the level of user expertise (i.e., subjective experiences). Herein we circumvent the user-centric selection procedure by describing a novel approach for objectively selecting a particular functional for a given application. We achieve this by employing game theory to identify optimal functional/basis set combinations. A three-player (accuracy, complexity, and similarity) game is devised, through which Nash equilibrium solutions can be obtained. This approach has the advantage that results can be systematically improved by enlarging the underlying knowledge base, and the deterministic selection procedure mathematically justifies the density functional and basis set selections.

Mesh:

Year:  2017        PMID: 29257687     DOI: 10.1021/acs.jcim.7b00542

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  2 in total

1.  Detection of multi-reference character imbalances enables a transfer learning approach for virtual high throughput screening with coupled cluster accuracy at DFT cost.

Authors:  Chenru Duan; Daniel B K Chu; Aditya Nandy; Heather J Kulik
Journal:  Chem Sci       Date:  2022-04-05       Impact factor: 9.969

2.  An electric field-based approach for quantifying effective volumes and radii of chemically affected space.

Authors:  Austin M Mroz; Audrey M Davenport; Jasper Sterling; Joshua Davis; Christopher H Hendon
Journal:  Chem Sci       Date:  2022-05-11       Impact factor: 9.969

  2 in total

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