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dc.contributor.authorFojt, Jakub
dc.contributor.authorRossi, Tuomas P.
dc.contributor.authorAntosiewicz, Tomasz J.
dc.contributor.authorKuisma, Mikael
dc.contributor.authorErhart, Paul
dc.date.accessioned2021-03-10T09:26:00Z
dc.date.available2021-03-10T09:26:00Z
dc.date.issued2021
dc.identifier.citationFojt, J., Rossi, T. P., Antosiewicz, T. J., Kuisma, M., & Erhart, P. (2021). Dipolar coupling of nanoparticle-molecule assemblies : an efficient approach for studying strong coupling. <i>Journal of Chemical Physics</i>, <i>154</i>(9), Article 094109. <a href="https://doi.org/10.1063/5.0037853" target="_blank">https://doi.org/10.1063/5.0037853</a>
dc.identifier.otherCONVID_51813243
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/74576
dc.description.abstractStrong light–matter interactions facilitate not only emerging applications in quantum and non-linear optics but also modifications of properties of materials. In particular, the latter possibility has spurred the development of advanced theoretical techniques that can accurately capture both quantum optical and quantum chemical degrees of freedom. These methods are, however, computationally very demanding, which limits their application range. Here, we demonstrate that the optical spectra of nanoparticle-molecule assemblies, including strong coupling effects, can be predicted with good accuracy using a subsystem approach, in which the response functions of different units are coupled only at the dipolar level. We demonstrate this approach by comparison with previous time-dependent density functional theory calculations for fully coupled systems of Al nanoparticles and benzene molecules. While the present study only considers few-particle systems, the approach can be readily extended to much larger systems and to include explicit optical-cavity modes.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherAmerican Institute of Physics
dc.relation.ispartofseriesJournal of Chemical Physics
dc.rightsCC BY 4.0
dc.subject.otherpolarizability
dc.subject.otherplasmons
dc.subject.otheroptical spectroscopy
dc.subject.othertime dependent density functional theory
dc.subject.othersurface optics
dc.subject.othernanoparticles
dc.subject.otherlinear combination of atomic orbitals
dc.titleDipolar coupling of nanoparticle-molecule assemblies : an efficient approach for studying strong coupling
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202103101927
dc.contributor.laitosKemian laitosfi
dc.contributor.laitosDepartment of Chemistryen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn0021-9606
dc.relation.numberinseries9
dc.relation.volume154
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 the Authors
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber295602
dc.subject.ysonanohiukkaset
dc.subject.ysotiheysfunktionaaliteoria
dc.subject.ysooptiset ominaisuudet
dc.subject.ysoplasmonit
dc.subject.ysonanorakenteet
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p23451
jyx.subject.urihttp://www.yso.fi/onto/yso/p28852
jyx.subject.urihttp://www.yso.fi/onto/yso/p25870
jyx.subject.urihttp://www.yso.fi/onto/yso/p38679
jyx.subject.urihttp://www.yso.fi/onto/yso/p25315
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.datasethttp://doi.org/10.5281/zenodo.4501057
dc.relation.doi10.1063/5.0037853
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramPostdoctoral Researcher, AoFen
jyx.fundingprogramTutkijatohtori, SAfi
jyx.fundinginformatione gratefully acknowledge the Knut and Alice Wallenberg Foundation (Grant No. 2019.0140, J.F., P.E.), the Swedish Research Council (Grant No. 2015-04153, J.F., P.E.), the Academy of Finland (Grant Nos. 332429, T.P.R; 295602, M.K.), and the Polish National Science Center (Grant No. 2019/34/E/ST3/00359, T.J.A.). The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at NSC, C3SE, and PDC partially funded by the Swedish Research Council through Grant Agreement No. 2018-05973 as well as by the CSC—IT Center for Science, Finland, by the Aalto Science-IT project, Aalto University School of Science, and by the Interdisciplinary Center for Mathematical and Computational Modeling, University of Warsaw (Grant No. G55-6).
dc.type.okmA1


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