AutoMeKin2021: an open-source program for automated reaction discovery
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Electrónica e Computación | gl |
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Química Física | gl |
| dc.contributor.author | Martínez Núñez, Emilio | |
| dc.contributor.author | Ryan Glowacki, David | |
| dc.contributor.author | Barnes, George | |
| dc.contributor.author | Kopec, Sabine | |
| dc.contributor.author | Peláez, Daniel | |
| dc.contributor.author | Rodríguez López, Aurelio | |
| dc.contributor.author | Rodríguez Fernández, Roberto | |
| dc.contributor.author | Shannon, Robin | |
| dc.contributor.author | Stewart, James | |
| dc.contributor.author | García Tahoces, Pablo | |
| dc.contributor.author | Vázquez Rodríguez, Saulo Ángel | |
| dc.date.accessioned | 2022-08-23T12:36:31Z | |
| dc.date.available | 2022-08-23T12:36:31Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | AutoMeKin2021 is an updated version of tsscds2018, a program for the automated discovery of reaction mechanisms (J. Comput. Chem. 2018, 39, 1922). This release features a number of new capabilities: rare-event molecular dynamics simulations to enhance reaction discovery, extension of the original search algorithm to study van der Waals complexes, use of chemical knowledge, a new search algorithm based on bond-order time series analysis, statistics of the chemical reaction networks, a web application to submit jobs, and other features. The source code, manual, installation instructions and the website link are available at: https://rxnkin.usc.es/index.php/AutoMeKin | gl |
| dc.description.peerreviewed | SI | gl |
| dc.description.sponsorship | This work was partially supported by the Ministerio de Ciencia e Innovacion (Grant # PID2019-107307RB-I00). G. L. B. gratefully acknowledges support from the National Science Foundation under grant No. 1763652 | gl |
| dc.identifier.citation | J Comput Chem. 2021;42:2036–2048. https://doi.org/10.1002/jcc.26734 | gl |
| dc.identifier.doi | 10.1002/jcc.26734 | |
| dc.identifier.essn | 1096-987X | |
| dc.identifier.uri | http://hdl.handle.net/10347/29128 | |
| dc.language.iso | eng | gl |
| dc.publisher | Wiley | gl |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107307RB-I00/ES/SIMULACION DE BIOCOMBUSTIBLES Y ADITIVOS DE GASOLINA | gl |
| dc.relation.publisherversion | https://doi.org/10.1002/jcc.26734 | gl |
| dc.rights | © 2021 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made | gl |
| dc.rights.accessRights | open access | gl |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Graph theory | gl |
| dc.subject | Kinetics | gl |
| dc.subject | MD simulations | gl |
| dc.subject | Reaction mechanisms | gl |
| dc.title | AutoMeKin2021: an open-source program for automated reaction discovery | gl |
| dc.type | journal article | gl |
| dc.type.hasVersion | VoR | gl |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 05dd0c72-93c9-4813-a85c-dbd7ae83f9b2 | |
| relation.isAuthorOfPublication | 64b61b32-0acf-4977-a258-56bb34b766f8 | |
| relation.isAuthorOfPublication | a4dd7d81-2508-4f4b-8371-7f478e60a08f | |
| relation.isAuthorOfPublication.latestForDiscovery | 05dd0c72-93c9-4813-a85c-dbd7ae83f9b2 |
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