Literature DB >> 15104452

Homolytic C-H and N-H bond dissociation energies of strained organic compounds.

Yong Feng1, Lei Liu, Jin-Ti Wang, Su-Wen Zhao, Qing-Xiang Guo.   

Abstract

High-level computations at G3, CBS-Q, and G3B3 levels were conducted, and good-quality C-H and N-H bond dissociation energies (BDEs) were obtained for a variety of saturated and unsaturated strained hydrocarbons and amines for the first time. From detailed NBO analyses, we found that the C-H BDEs of hydrocarbons are determined mainly by the hybridization of the parent compound, the hybridization of the radical, and the extent of spin delocalization of the radical. The ring strain has a significant effect on the C-H BDE because it forces the parent compound and radical to adopt certain undesirable hybridization. A structure-activity relationship equation (i.e., BDE (C-H) = 61.1-227.8 (p(parent)% - 0.75)(2) + 152.9 (p(radical)% - 1.00)(2) + 40.4 spin) was established, and it can predict the C-H BDEs of a variety of saturated and unsaturated strained hydrocarbons fairly well. For the C-H BDEs associated with the bridgehead carbons of the highly rigid strained compounds, we found that the strength of the C-H bond can also be predicted from the H-C-C bond angles of the bridgehead carbon. Finally, we found that N-H BDEs show less dependence on the ring strain than C-H BDEs.

Entities:  

Year:  2004        PMID: 15104452     DOI: 10.1021/jo035306d

Source DB:  PubMed          Journal:  J Org Chem        ISSN: 0022-3263            Impact factor:   4.354


  2 in total

1.  BonDNet: a graph neural network for the prediction of bond dissociation energies for charged molecules.

Authors:  Mingjian Wen; Samuel M Blau; Evan Walter Clark Spotte-Smith; Shyam Dwaraknath; Kristin A Persson
Journal:  Chem Sci       Date:  2020-12-08       Impact factor: 9.825

2.  A big data approach to the ultra-fast prediction of DFT-calculated bond energies.

Authors:  Xiaohui Qu; Diogo Ars Latino; Joao Aires-de-Sousa
Journal:  J Cheminform       Date:  2013-07-12       Impact factor: 5.514

  2 in total

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