Random-Alloy Model for the Conductivity of Ionic Liquid–Solvent Mixtures

UDC.coleccionInvestigaciónes_ES
UDC.departamentoFísica e Ciencias da Terraes_ES
UDC.endPage11759es_ES
UDC.grupoInvMesturases_ES
UDC.issue22es_ES
UDC.journalTitleThe Journal of Physical Chemistry Ces_ES
UDC.startPage11754es_ES
UDC.volume124 (2020)es_ES
dc.contributor.authorMontes-Campos, Hadrián
dc.contributor.authorKondrat, Svyatoslav
dc.contributor.authorRilo, Esther
dc.contributor.authorCabeza, Óscar
dc.contributor.authorVarela, Luis M.
dc.date.accessioned2024-11-07T20:51:31Z
dc.date.available2024-11-07T20:51:31Z
dc.date.issued2020-04-09
dc.descriptionThis document is the Accepted Manuscript version of a Published Work that appeared in final form in The Journal of Physical Chemistry C, copyright © 2020 American Chemical Society after peer review and technical editing by the publisher.es_ES
dc.description.abstract[Abstract] Charge transport in ionic systems is of paramount importance in many areas, but the existing theories provide reliable description only at low electrolyte concentrations. A promising theory is the pseudo-lattice or cell theory of fluids, which describes an ionic solution as a mixture of solvent-rich and ion-rich cells, characterized by different ion mobilities, with ion transport taking place by means of a hopping mechanism. The conventional approach considers ion hops between statistically independent cells and leads to a quadratic dependence of the conductivity on ion concentration. Herein, we derive a new equation for the concentration-dependent conductivity by adopting the random-alloy approximation, which takes into account cell–cell correlations. The derived equation describes remarkably well the conductivities of ionic liquid–solvent mixtures and inorganic electrolytes in the whole range of concentration and brings new insights into their temperature and size dependence.es_ES
dc.description.sponsorshipFinancial support from the Spanish Ministry of Economy and Competitiveness is gratefully acknowledged (grant numbers MAT2017-89239-C2-1-P and MAT 2017-89239-C2-2-P). This work received funding from Xunta de Galicia (AGRUP2015/11, ED431D 2017/06, ED431E 2018/08, and GRC ED431C 2016/001) and was partially supported by FEDER. H.M.-C. thanks the Spanish Ministry of Education for the FPU grant. We thank Galician Supercomputing Centre (CESGA) for providing computational facilities. Funding from the European Union COST Actions CM1206 and MP1303 is also acknowledged. S.K. and L.M.V. acknowledge CONIN project of the European Union’s Horizon 2020 Research and Innovation Programme (Marie Skłodowska-Curie grant agreement 409734276) and personally thank Alina Ciach (IPC, Warsaw) for the invitation to the CONIN Workshop in Warsaw where this work was initiatedes_ES
dc.description.sponsorshipXunta de Galicia; AGRUP2015/11es_ES
dc.description.sponsorshipXunta de Galicia; ED431D 2017/06es_ES
dc.description.sponsorshipXunta de Galicia; ED431E 2018/08es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2016/001es_ES
dc.identifier.citationMontes-Campos, H.; Kondrat, S.; Rilo, E.; Cabeza, O.; Varela, L. M. Random-Alloy Model for the Conductivity of Ionic Liquid–Solvent Mixtures. J. Phys. Chem. C 2020, 124 (22), 11754–11759. https://doi.org/10.1021/acs.jpcc.0c00531es_ES
dc.identifier.doi10.1021/acs.jpcc.0c00531
dc.identifier.issn1932-7455
dc.identifier.urihttp://hdl.handle.net/2183/40003
dc.language.isoenges_ES
dc.publisherACSes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/MAT2017-89239-C2-1-P/ES/MATERIALES INTELIGENTES PARA LOS RETOS ELECTROQUIMICOS Y FOTONICOS: LIQUIDOS IONICOS E IONOGELES HIBRIDOS/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/MAT2017-89239-C2-2-P/ES/CARACTERIZACION DE LA ESTABILIDAD ELECTROQUIMICA Y DEL TRANSPORTE DE CARGA EN LIQUIDOS IONICOS E IONOGELES HIBRIDOS/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/734276es_ES
dc.relation.urihttps://doi.org/10.1021/acs.jpcc.0c00531es_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectElectrical conductivityes_ES
dc.subjectIonses_ES
dc.subjectSaltses_ES
dc.subjectSolventses_ES
dc.subjectTheoretical and computational chemistryes_ES
dc.titleRandom-Alloy Model for the Conductivity of Ionic Liquid–Solvent Mixtureses_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationc9deff3e-5604-4c4c-89d0-d79bdf5c4468
relation.isAuthorOfPublication7404ed3a-b5f4-42ed-a00e-86ae7257ecd9
relation.isAuthorOfPublication.latestForDiscoveryc9deff3e-5604-4c4c-89d0-d79bdf5c4468

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