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      PyFrag 2019—Automating the exploration and analysis of reaction mechanisms

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          Abstract

          We present a substantial update to the PyFrag 2008 program, which was originally designed to perform a fragment‐based activation strain analysis along a provided potential energy surface. The original PyFrag 2008 workflow facilitated the characterization of reaction mechanisms in terms of the intrinsic properties, such as strain and interaction, of the reactants. The new PyFrag 2019 program has automated and reduced the time‐consuming and laborious task of setting up, running, analyzing, and visualizing computational data from reaction mechanism studies to a single job. PyFrag 2019 resolves three main challenges associated with the automated computational exploration of reaction mechanisms: it (1) computes the reaction path by carrying out multiple parallel calculations using initial coordinates provided by the user; (2) monitors the entire workflow process; and (3) tabulates and visualizes the final data in a clear way. The activation strain and canonical energy decomposition results that are generated relate the characteristics of the reaction profile in terms of intrinsic properties (strain, interaction, orbital overlaps, orbital energies, populations) of the reactant species. © 2019 The Authors. Journal of Computational Chemistry published by Wiley Periodicals, Inc.

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          Turbomole

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            Energy decomposition analysis

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              Reactivity for the Diels–Alder Reaction of Cumulenes: A Distortion-Interaction Analysis along the Reaction Pathway

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                Author and article information

                Contributors
                jordi.poater@ub.edu
                t.a.hamlin@vu.nl
                f.m.bickelhaupt@vu.nl
                Journal
                J Comput Chem
                J Comput Chem
                10.1002/(ISSN)1096-987X
                JCC
                Journal of Computational Chemistry
                John Wiley & Sons, Inc. (Hoboken, USA )
                0192-8651
                1096-987X
                04 June 2019
                30 September 2019
                : 40
                : 25 ( doiID: 10.1002/jcc.v40.25 )
                : 2227-2233
                Affiliations
                [ 1 ] Department of Theoretical Chemistry and Amsterdam Center for Multiscale Modeling Vrije Universiteit Amsterdam De Boelelaan 1083, 1081 HV Amsterdam Netherlands
                [ 2 ] Software for Chemistry & Materials B.V. De Boelelaan 1083, 1081 HV Amsterdam Netherlands
                [ 3 ] ICREA, Pg. Lluís Companys 23, 08010 Barcelona, Spain and Departament de Química Inorgànica i Orgànica & IQTCUB Universitat de Barcelona 08028 Barcelona Catalonia Spain
                [ 4 ] Institute for Molecules and Materials Radboud University Heyendaalseweg 135, 6525 AJ Nijmegen Netherlands
                Author notes
                Author information
                https://orcid.org/0000-0003-2483-8476
                https://orcid.org/0000-0003-3237-3509
                https://orcid.org/0000-0002-0814-5074
                https://orcid.org/0000-0002-5128-1004
                https://orcid.org/0000-0003-4655-7747
                Article
                JCC25871
                10.1002/jcc.25871
                6771738
                31165500
                7c9fbf9c-930e-4fad-9916-4a7e3c353c1e
                © 2019 The Authors. Journal of Computational Chemistry published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 20 April 2019
                : 16 May 2019
                : 16 May 2019
                Page count
                Figures: 5, Tables: 0, Pages: 7, Words: 6419
                Funding
                Funded by: China Scholarship Council (CSC)
                Funded by: Generalitat de Catalunya
                Award ID: 2017SGR348
                Funded by: the Spanish MINECO
                Award ID: CTQ2016‐77558‐R
                Award ID: MDM‐2017‐0767
                Categories
                Software News and Updates
                Software News and Updates
                Custom metadata
                2.0
                jcc25871
                September 30, 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.9 mode:remove_FC converted:01.10.2019

                Computational chemistry & Modeling
                density functional calculations,automation,reaction mechanisms,activation strain model,energy decomposition analysis,program

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