Perturbative perspectives on the chemical reaction prediction problem

被引:444
|
作者
Ayers, PW [1 ]
Anderson, JSM
Bartolotti, LJ
机构
[1] McMaster Univ, Dept Chem, Hamilton, ON L8S 4M1, Canada
[2] E Carolina Univ, Dept Chem, Greenville, NC 27858 USA
关键词
chemical reactivity; conceptual density functional theory; Fukui function; leaving groups; reactivity indicators;
D O I
10.1002/qua.20307
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
When a molecule is in the presence of a chemical reagent, the external potential and the number of electrons in the molecule change. This leads to perturbative perspectives on chemical reactivity, wherein the response of a molecule to various "model perturbations" of the external potential and number of electrons is used to predict its reactivity. The perturbative perspective allows one to treat indices associated with conceptual density functional theory in a unified way. Here we concentrate on the implications of the perturbative perspective in describing regioselectivity and certain global properties of molecules, specifically, their electrophilicity, nucleofugality, and electrofugality. (C) 2004 Wiley Periodicals, Inc.
引用
收藏
页码:520 / 534
页数:15
相关论文
共 50 条
  • [11] Linear systems on balancing chemical reaction problem
    Kafi, R. A.
    Abdillah, B.
    1ST INTERNATIONAL CONFERENCE OF EDUCATION ON SCIENCES, TECHNOLOGY, ENGINEERING, AND MATHEMATICS (ICE-STEM), 2018, 948
  • [12] Chemical Reaction Optimization for the Grid Scheduling Problem
    Xu, Jin
    Lam, Albert Y. S.
    Li, Victor O. K.
    2010 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2010,
  • [13] Enhancing feature learning for chemical reaction prediction
    Baylon, Javier
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 256
  • [14] The prediction of a chemical reaction forming a monovariant system
    Matignon, C
    COMPTES RENDUS HEBDOMADAIRES DES SEANCES DE L ACADEMIE DES SCIENCES, 1905, 140 : 512 - 515
  • [15] Chemical reaction optimization for RNA structure prediction
    Kabir, Rayhanul
    Islam, Rafiqul
    APPLIED INTELLIGENCE, 2019, 49 (02) : 352 - 375
  • [16] Prediction of optimal catalysts for a given chemical reaction
    Toulhoat, Herve
    Raybaud, Pascal
    CATALYSIS SCIENCE & TECHNOLOGY, 2020, 10 (07) : 2069 - 2081
  • [17] Chemical reaction optimization for RNA structure prediction
    Rayhanul Kabir
    Rafiqul Islam
    Applied Intelligence, 2019, 49 : 352 - 375
  • [18] Artificial intelligence in reaction prediction and chemical synthesis
    Venkatasubramanian, Venkat
    Mann, Vipul
    CURRENT OPINION IN CHEMICAL ENGINEERING, 2022, 36
  • [19] Improving Chemical Reaction Prediction with Unlabeled Data
    Xie, Yu
    Zhang, Yuyang
    Wong, Ka-Chun
    Shi, Meixia
    Peng, Chengbin
    MOLECULES, 2022, 27 (18):
  • [20] On perturbative expansions to the stochastic flow problem
    Bonilla, FA
    Cushman, JH
    TRANSPORT IN POROUS MEDIA, 2001, 42 (1-2) : 3 - 35