Literature DB >> 24186858

Exploring transition state structures for intramolecular pathways by the artificial force induced reaction method.

Satoshi Maeda1, Tetsuya Taketsugu, Keiji Morokuma.   

Abstract

Finding all required transition state (TS) structures is an important but hard task in theoretical study of complex reaction mechanisms. In the present article, an efficient automated TS search method, artificial force induced reaction (AFIR), was extended to intramolecular reactions. The AFIR method has been developed for intermolecular associative pathways between two or more reactants. Although it has also been applied to intramolecular reactions by dividing molecules manually into fragments, the fragmentation scheme was not automated. In this work, we propose an automated fragmentation scheme. Using this fragmentation scheme and the AFIR method, a fully automated search algorithm for intramolecular pathways is introduced. This version for intramolecular reactions is called single-component AFIR (SC-AFIR), to distinguish it from multicomponent AFIR for intermolecular reactions. SC-AFIR was tested with two reactions, the Claisen rearrangement and the first step of cobalt-catalyzed hydroformylation, and successfully located all important pathways reported in the literature.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  potential energy surface • transition state • reaction path • artificial force induced reaction

Year:  2013        PMID: 24186858     DOI: 10.1002/jcc.23481

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  8 in total

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2.  Artificial intelligence pathway search to resolve catalytic glycerol hydrogenolysis selectivity.

Authors:  Pei-Lin Kang; Yun-Fei Shi; Cheng Shang; Zhi-Pan Liu
Journal:  Chem Sci       Date:  2022-06-20       Impact factor: 9.969

3.  Implementation and performance of the artificial force induced reaction method in the GRRM17 program.

Authors:  Satoshi Maeda; Yu Harabuchi; Makito Takagi; Kenichiro Saita; Kimichi Suzuki; Tomoya Ichino; Yosuke Sumiya; Kanami Sugiyama; Yuriko Ono
Journal:  J Comput Chem       Date:  2017-11-14       Impact factor: 3.376

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

Review 5.  Augmenting Basin-Hopping With Techniques From Unsupervised Machine Learning: Applications in Spectroscopy and Ion Mobility.

Authors:  Ce Zhou; Christian Ieritano; William Scott Hopkins
Journal:  Front Chem       Date:  2019-08-07       Impact factor: 5.221

6.  Deep reaction network exploration at a heterogeneous catalytic interface.

Authors:  Qiyuan Zhao; Yinan Xu; Jeffrey Greeley; Brett M Savoie
Journal:  Nat Commun       Date:  2022-08-18       Impact factor: 17.694

7.  Stille coupling via C-N bond cleavage.

Authors:  Dong-Yu Wang; Masatoshi Kawahata; Ze-Kun Yang; Kazunori Miyamoto; Shinsuke Komagawa; Kentaro Yamaguchi; Chao Wang; Masanobu Uchiyama
Journal:  Nat Commun       Date:  2016-09-30       Impact factor: 14.919

8.  Exploring the full catalytic cycle of rhodium(i)-BINAP-catalysed isomerisation of allylic amines: a graph theory approach for path optimisation.

Authors:  Takayoshi Yoshimura; Satoshi Maeda; Tetsuya Taketsugu; Masaya Sawamura; Keiji Morokuma; Seiji Mori
Journal:  Chem Sci       Date:  2017-05-03       Impact factor: 9.825

  8 in total

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