Literature DB >> 25413470

An automated method to find transition states using chemical dynamics simulations.

Emilio Martínez-Núñez1.   

Abstract

A procedure to automatically find the transition states (TSs) of a molecular system (MS) is proposed. It has two components: high-energy chemical dynamics simulations (CDS), and an algorithm that analyzes the geometries along the trajectories to find reactive pathways. Two levels of electronic structure calculations are involved: a low level (LL) is used to integrate the trajectories and also to optimize the TSs, and a higher level (HL) is used to reoptimize the structures. The method has been tested in three MSs: formaldehyde, formic acid (FA), and vinyl cyanide (VC), using MOPAC2012 and Gaussian09 to run the LL and HL calculations, respectively. Both the efficacy and efficiency of the method are very good, with around 15 TS structures optimized every 10 trajectories, which gives a total of 7, 12, and 83 TSs for formaldehyde, FA, and VC, respectively. The use of CDS makes it a powerful tool to unveil possible nonstatistical behavior of the system under study.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  automated method; chemical dynamics; potential energy surface; transition states

Year:  2014        PMID: 25413470     DOI: 10.1002/jcc.23790

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


  11 in total

1.  Computational Approach to Molecular Catalysis by 3d Transition Metals: Challenges and Opportunities.

Authors:  Konstantinos D Vogiatzis; Mikhail V Polynski; Justin K Kirkland; Jacob Townsend; Ali Hashemi; Chong Liu; Evgeny A Pidko
Journal:  Chem Rev       Date:  2018-10-30       Impact factor: 60.622

Review 2.  Reaction Space Projector (ReSPer) for Visualizing Dynamic Reaction Routes Based on Reduced-Dimension Space.

Authors:  Takuro Tsutsumi; Yuriko Ono; Tetsuya Taketsugu
Journal:  Top Curr Chem (Cham)       Date:  2022-03-10

3.  Chemical reaction network knowledge graphs: the OntoRXN ontology.

Authors:  Diego Garay-Ruiz; Carles Bo
Journal:  J Cheminform       Date:  2022-05-30       Impact factor: 8.489

4.  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

5.  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 6.  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

7.  Editorial: Application of Optimization Algorithms in Chemistry.

Authors:  Jorge M C Marques; Emilio Martínez-Núñez; William L Hase
Journal:  Front Chem       Date:  2020-03-20       Impact factor: 5.221

8.  The PM6-FGC Method: Improved Corrections for Amines and Amides.

Authors:  Martiño Ríos-García; Berta Fernández; Jesús Rodríguez-Otero; Enrique M Cabaleiro-Lago; Saulo A Vázquez
Journal:  Molecules       Date:  2022-03-03       Impact factor: 4.411

Review 9.  Tracing the Primordial Chemical Life of Glycine: A Review from Quantum Chemical Simulations.

Authors:  Albert Rimola; Nadia Balucani; Cecilia Ceccarelli; Piero Ugliengo
Journal:  Int J Mol Sci       Date:  2022-04-12       Impact factor: 6.208

10.  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

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