Literature DB >> 31615242

Identity for Kullback-Leibler divergence in density functional reactivity theory.

Shubin Liu1.   

Abstract

Density functional reactivity theory (DFRT) makes use of simple electron density functionals to appreciate chemical reactivity. The Kullback-Leibler divergence, also called information gain or relative Shannon entropy, as a key component of the DFRT framework has entertained a few fascinating applications in the recent literature. For instance, it was employed to rationalize the Hirshfeld stockholder partition of atoms in molecules. It has also been applied to both determine regioselectivity and simultaneously quantify molecular electrophilicity and nucleophilicity, the capability of atoms in molecules to accept and donate electrons. In this work, we examine the local behavior of the Kullback-Leibler divergence and present a novel identity for it. The validity of the identity is subsequently verified by the numerical results of neutral atoms from He to Kr with different choices of the reference density. Analytical properties and local behaviors of the three new functions introduced in the identity are discussed. These new local functions, together with the identity unveiled in this work, should provide new perspectives for us to further develop the DFRT framework with added insights about the local behavior of molecular physiochemical properties.

Entities:  

Year:  2019        PMID: 31615242     DOI: 10.1063/1.5124244

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  2 in total

1.  Revisiting the trapping of noble gases (He-Kr) by the triatomic H3+ and Li3+ species: a density functional reactivity theory study.

Authors:  Xin He; Chunna Guo; Meng Li; Shujing Zhong; Xinjie Wan; Chunying Rong; Pratim K Chattaraj; Dongbo Zhao
Journal:  J Mol Model       Date:  2022-04-19       Impact factor: 1.810

2.  A Density Functional Theory and Information-Theoretic Approach Study of Interaction Energy and Polarizability for Base Pairs and Peptides.

Authors:  Dongbo Zhao; Shubin Liu; Dahua Chen
Journal:  Pharmaceuticals (Basel)       Date:  2022-07-28
  2 in total

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