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Cited by 341

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Computational Organic Chemistry: Bridging Theory and Experiment in Establishing the Mechanisms of Chemical Reactions

Cheng, Gui-Juan, Zhang, Xinhao, Chung, Lung Wa, Xu, Liping, Wu, Yun-Dong·2015·Journal of the American Chemical Society

Abstract

Understanding the mechanisms of chemical reactions, especially catalysis, has been an important and active area of computational organic chemistry, and close collaborations between experimentalists and theorists represent a growing trend. This Perspective provides examples of such productive collaborations. The understanding of various reaction mechanisms and the insight gained from these studies are emphasized. The applications of various experimental techniques in elucidation of reaction details as well as the development of various computational techniques to meet the demand of emerging synthetic methods, e.g., C-H activation, organocatalysis, and single electron transfer, are presented along with some conventional developments of mechanistic aspects. Examples of applications are selected to demonstrate the advantages and limitations of these techniques. Some challenges in the mechanistic studies and predictions of reactions are also analyzed.

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Metadata

Authors
Cheng, G.-J., Zhang, X., Chung, L. W., Xu, L., & Wu, Y.-D.
Venue
Journal of the American Chemical Society
Published
2015-01-27
Volume
137
Issue
5
Pages
1706-1725
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2319383662
Cited by
341
References
7
FWCI
19.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Computational Organic Chemistry: Bridging Theory and Experiment in Establishing the Mechanisms of Chemical Reactions. https://app.cochat.ai/papers/10.1021/ja5112749
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Cheng, G.-J., Zhang, X., Chung, L. W., Xu, L., & Wu, Y.-D. (2015). Computational Organic Chemistry: Bridging Theory and Experiment in Establishing the Mechanisms of Chemical Reactions. Journal of the American Chemical Society. https://doi.org/10.1021/ja5112749

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.