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Rational Density Functional Selection Using Game Theory
Journal of Chemical Information and Modeling ( IF 5.6 ) Pub Date : 2017-12-19 00:00:00 , DOI: 10.1021/acs.jcim.7b00542
Suzanne McAnanama-Brereton 1 , Mark P. Waller 2
Affiliation  

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.

中文翻译:

基于博弈论的理性密度泛函选择

由于可获得无数的密度泛函和基集,因此理论化学有一个自相矛盾的选择。传统上,基于用户专业水平(即主观体验)选择特定的密度功能。在这里,我们通过描述一种新颖的方法来绕过以用户为中心的选择过程,该方法可以客观地为给定应用选择特定功能。我们通过运用博弈论来确定最佳功能/基础集组合来实现这一目标。设计了一个三人游戏(准确性,复杂性和相似性),通过该游戏可以获得纳什均衡解。这种方法的优势在于,可以通过扩大基础知识库来系统地改善结果,
更新日期:2017-12-19
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