Some Recent Advances in Density-Based Reactivity Theory

被引:15
|
作者
He, Xin [1 ]
Li, Meng [2 ]
Rong, Chunying [2 ]
Zhao, Dongbo [3 ]
Liu, Wenjian [1 ]
Ayers, Paul W. [4 ]
Liu, Shubin [5 ,6 ]
机构
[1] Shandong Univ, Qingdao Inst Theoret & Computat Sci, Inst Frontier & Interdisciplinary Sci, Qingdao 266237, Shandong, Peoples R China
[2] Hunan Normal Univ, Key Lab Chem Biol & Tradit Chinese Med Res, Minist Educ China, Changsha 410081, Hunan, Peoples R China
[3] Yunnan Univ, Inst Biomed Res, Kunming 650500, Yunnan, Peoples R China
[4] McMaster Univ, Dept Chem & Chem Biol, Hamilton, ON L8S, Canada
[5] Univ N Carolina, Res Comp Ctr, Chapel Hill, NC 27599 USA
[6] Univ N Carolina, Dept Chem, Chapel Hill, NC 27599 USA
基金
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
CHARGE SEPARATION PROPENSITY; MOLECULAR-ORBITAL THEORY; WOODWARD-HOFFMANN RULES; FUNCTIONAL THEORY; KINETIC-ENERGY; ELECTRON LOCALIZATION; INFORMATION-THEORY; DUAL DESCRIPTOR; LOCAL HARDNESS; FUKUI FUNCTION;
D O I
10.1021/acs.jpca.3c07997
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Establishing a chemical reactivity theory in density functional theory (DFT) language has been our intense research interest in the past two decades, exemplified by the determination of steric effect and stereoselectivity, evaluation of electrophilicity and nucleophilicity, identification of strong and weak interactions, and formulation of cooperativity, frustration, and principle of chirality hierarchy. In this Featured Article, we first overview the four density-based frameworks in DFT to appreciate chemical understanding, including conceptual DFT, use of density associated quantities, information-theoretic approach, and orbital-free DFT, and then present a few recent advances of these frameworks as well as new applications from our studies. To that end, we will introduce the relationship among these frameworks, determining the entire spectrum of interactions with Pauli energy derivatives, performing topological analyses with information-theoretic quantities, and extending the density-based frameworks to excited states. Applications to examine physiochemical properties in external electric fields and to evaluate polarizability for proteins and crystals are discussed. A few possible directions for future development are followed, with the special emphasis on its merger with machine learning.
引用
收藏
页码:1183 / 1196
页数:14
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