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M3C: A Computational Approach to Describe Statistical Fragmentation of Excited Molecules and Clusters

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dc.contributor.affiliation"Departamento de Química, Universidad Autónoma de Madrid, Módulo 13, Madrid, 28049, Spain"," Condensed Matter Physics Center (IFIMAC), Universidad Autónoma de Madrid, Madrid, 28049, Spain"," Université de Strasbourg, CNRS, Institut de Physique et Chimie des Matériaux de Strasbourg, Strasbourg, 67000, France"," Instituto Madrileño de Estudios Avanzados en Nanociencias (IMDEA-Nanociencia), Madrid, 28049, Spain"en
dc.contributor.affiliation000000041762408X
dc.contributor.authorAguirre N.F.
dc.contributor.authorDíaz-Tendero S.
dc.contributor.authorHervieux P.-A.
dc.contributor.authorAlcamí M.
dc.contributor.authorMartín, Fernando
dc.date.accessioned2020-12-04T12:33:18Z
dc.date.available2020-12-04T12:33:18Z
dc.date.issued2017
dc.identifier.doi10.1021/acs.jctc.6b00984
dc.identifier.urihttp://hdl.handle.net/20.500.12614/1354
dc.journal.titleJournal of Chemical Theory and Computation
dc.language.isoen
dc.page.initial992
dc.relation.projectIDTEMPWe acknowledge the generous allocation of computer time at the Centro de Computacion Cientifica at the Universidad Autonoma de Madrid (CCC-UAM). Work was supported by the MINECO projects FIS2013-42002-R and CTQ2013-43698-P the CAM project NANOFRONTMAG-CM ref S2013/MIT-2850S, and the European COST Action CM1204 XLIC. S.D.-T. gratefully acknowledges the Ramon y Cajal program of the Spanish MINECO. Financial support from the Spanish Ministry of Economy and Competitiveness, through The Maria de Maeztu Programme for Units of Excellence in R&D (MDM-2014-0377) is acknowledged.
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleM3C: A Computational Approach to Describe Statistical Fragmentation of Excited Molecules and Clusters
dc.typeresearch article
dc.volume.number13
dspace.entity.typePublication
relation.isAuthorOfPublication23d66601-f50b-4d29-aa9c-5effea58cfdf
relation.isAuthorOfPublication.latestForDiscovery23d66601-f50b-4d29-aa9c-5effea58cfdf

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