Literature DB >> 26596590

Toward Predicting Full Catalytic Cycle Using Automatic Reaction Path Search Method: A Case Study on HCo(CO)3-Catalyzed Hydroformylation.

Satoshi Maeda1,2, Keiji Morokuma2,3.   

Abstract

Toward systematic prediction of reaction pathways in complex chemical reaction systems by quantum chemical calculations, a new automatic reaction path search approach has been proposed on the basis of the artificial force induced reaction (AFIR) method [J. Chem. Theory Comput.2011, 7, 2335-2345.]. We demonstrate in this Letter that this approach enabled semiautomatic determination of the full catalytic cycle of the HCo(CO)3-catalyzed hydroformylation. The search was fully systematic; no initial guess was required concerning the entire reaction mechanism as well as each transition-state structure. This approach opens the door to nonempirical prediction of complex reaction mechanisms involving multiple steps in multiple pathways, such as full cycles of catalytic reactions.

Entities:  

Year:  2012        PMID: 26596590     DOI: 10.1021/ct200829p

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  7 in total

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Authors:  Mingbin Yuan; Osvaldo Gutierrez
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2.  Discovering chemistry with an ab initio nanoreactor.

Authors:  Lee-Ping Wang; Alexey Titov; Robert McGibbon; Fang Liu; Vijay S Pande; Todd J Martínez
Journal:  Nat Chem       Date:  2014-11-02       Impact factor: 24.427

3.  Efficient prediction of reaction paths through molecular graph and reaction network analysis.

Authors:  Yeonjoon Kim; Jin Woo Kim; Zeehyo Kim; Woo Youn Kim
Journal:  Chem Sci       Date:  2017-12-12       Impact factor: 9.825

Review 4.  A Trajectory-Based Method to Explore Reaction Mechanisms.

Authors:  Saulo A Vázquez; Xose L Otero; Emilio Martinez-Nunez
Journal:  Molecules       Date:  2018-11-30       Impact factor: 4.411

5.  Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis.

Authors:  Miguel Steiner; Markus Reiher
Journal:  Top Catal       Date:  2022-01-13       Impact factor: 2.910

Review 6.  Graph-Driven Reaction Discovery: Progress, Challenges, and Future Opportunities.

Authors:  Idil Ismail; Raphael Chantreau Majerus; Scott Habershon
Journal:  J Phys Chem A       Date:  2022-10-03       Impact factor: 2.944

7.  An automated method to find reaction mechanisms and solve the kinetics in organometallic catalysis.

Authors:  J A Varela; S A Vázquez; E Martínez-Núñez
Journal:  Chem Sci       Date:  2017-03-07       Impact factor: 9.825

  7 in total

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