Combinatorial optimization of evaporated bilayer small molecule organic solar cells through orthogonal thickness gradients

We report on a combinatorial optimization procedure applied to heterojunction small molecule organic solar cells made of evaporated copper phthalocyanine (CuPc) and 3,4,9,10-perylenetetracarboxylic bisbenzimidazole (PTCBI). Our strategy consists of depositing both light harvesting compounds as ortho...

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Autores: Rodríguez Martínez, Xabier, Sánchez Díaz, Antonio, Guilin, Liu, Niño, Miguel Ángel, Cabanillas–Gonzalez, Juan, Campoy Quiles, Mariano
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/165242
Acceso en línea:http://hdl.handle.net/10261/165242
Access Level:acceso abierto
Palabra clave:Organic photovoltaics
Photocurrent mapping
Raman imaging
Combinatorial screening
Gradient
High throughput evaluation
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spelling Combinatorial optimization of evaporated bilayer small molecule organic solar cells through orthogonal thickness gradientsRodríguez Martínez, XabierSánchez Díaz, AntonioGuilin, LiuNiño, Miguel ÁngelCabanillas–Gonzalez, JuanCampoy Quiles, MarianoOrganic photovoltaicsPhotocurrent mappingRaman imagingCombinatorial screeningGradientHigh throughput evaluationWe report on a combinatorial optimization procedure applied to heterojunction small molecule organic solar cells made of evaporated copper phthalocyanine (CuPc) and 3,4,9,10-perylenetetracarboxylic bisbenzimidazole (PTCBI). Our strategy consists of depositing both light harvesting compounds as orthogonally arranged wedge-shaped layers to then determine the optimum thicknesses which yield the highest photoconversion efficiency. The device performance is locally assessed by means of light-beam induced current images. A quantitative model of co-locally measured Raman images allows determining the corresponding local thicknesses of the active layers. The spatial correlation of both datasets (i.e. local photocurrent density and active layer film thicknesses) enables the rapid optimization of the photovoltaic system studied employing a single functional device, reducing in approximately 20 times the use of resources and time.The Spanish Ministerio de Economía y Competitividad (MINECO) is gratefully acknowledged for its support through Grant No. SEV-2015-0496 in the framework of the Spanish Severo Ochoa Centre of Excellence program. J.C.-G. acknowledges funding from the MINECO through projects MAT2014-57652-C2-1-R and PCIN-2015-169-C02-01 and from the Madrid Regional Government through MAD2D project. M.A.N. acknowledges support from the MINECO through MAT2014-59315-R project. G.L. thanks the China Scholarship Council for financial support (201406790019). X.R.-M., A.S.-D. and M.C.-Q. acknowledge financial support from the European Research Council through project ERC CoG648901.Peer reviewedElsevierMinisterio de Economía y Competitividad (España)Comunidad de MadridChina Scholarship CouncilEuropean Research CouncilConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201820182018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/165242reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SEV-2015-0496info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MAT2014-57652-C2-1-Rinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PCIN-2015-169-C02-01info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MAT2014-59315-Rinfo:eu-repo/grantAgreement/EC/H2020/648901http://dx.doi.org/10.1016/j.orgel.2018.05.007Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1652422026-05-22T06:33:51Z
dc.title.none.fl_str_mv Combinatorial optimization of evaporated bilayer small molecule organic solar cells through orthogonal thickness gradients
title Combinatorial optimization of evaporated bilayer small molecule organic solar cells through orthogonal thickness gradients
spellingShingle Combinatorial optimization of evaporated bilayer small molecule organic solar cells through orthogonal thickness gradients
Rodríguez Martínez, Xabier
Organic photovoltaics
Photocurrent mapping
Raman imaging
Combinatorial screening
Gradient
High throughput evaluation
title_short Combinatorial optimization of evaporated bilayer small molecule organic solar cells through orthogonal thickness gradients
title_full Combinatorial optimization of evaporated bilayer small molecule organic solar cells through orthogonal thickness gradients
title_fullStr Combinatorial optimization of evaporated bilayer small molecule organic solar cells through orthogonal thickness gradients
title_full_unstemmed Combinatorial optimization of evaporated bilayer small molecule organic solar cells through orthogonal thickness gradients
title_sort Combinatorial optimization of evaporated bilayer small molecule organic solar cells through orthogonal thickness gradients
dc.creator.none.fl_str_mv Rodríguez Martínez, Xabier
Sánchez Díaz, Antonio
Guilin, Liu
Niño, Miguel Ángel
Cabanillas–Gonzalez, Juan
Campoy Quiles, Mariano
author Rodríguez Martínez, Xabier
author_facet Rodríguez Martínez, Xabier
Sánchez Díaz, Antonio
Guilin, Liu
Niño, Miguel Ángel
Cabanillas–Gonzalez, Juan
Campoy Quiles, Mariano
author_role author
author2 Sánchez Díaz, Antonio
Guilin, Liu
Niño, Miguel Ángel
Cabanillas–Gonzalez, Juan
Campoy Quiles, Mariano
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Comunidad de Madrid
China Scholarship Council
European Research Council
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Organic photovoltaics
Photocurrent mapping
Raman imaging
Combinatorial screening
Gradient
High throughput evaluation
topic Organic photovoltaics
Photocurrent mapping
Raman imaging
Combinatorial screening
Gradient
High throughput evaluation
description We report on a combinatorial optimization procedure applied to heterojunction small molecule organic solar cells made of evaporated copper phthalocyanine (CuPc) and 3,4,9,10-perylenetetracarboxylic bisbenzimidazole (PTCBI). Our strategy consists of depositing both light harvesting compounds as orthogonally arranged wedge-shaped layers to then determine the optimum thicknesses which yield the highest photoconversion efficiency. The device performance is locally assessed by means of light-beam induced current images. A quantitative model of co-locally measured Raman images allows determining the corresponding local thicknesses of the active layers. The spatial correlation of both datasets (i.e. local photocurrent density and active layer film thicknesses) enables the rapid optimization of the photovoltaic system studied employing a single functional device, reducing in approximately 20 times the use of resources and time.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/165242
url http://hdl.handle.net/10261/165242
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SEV-2015-0496
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MAT2014-57652-C2-1-R
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PCIN-2015-169-C02-01
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MAT2014-59315-R
info:eu-repo/grantAgreement/EC/H2020/648901
http://dx.doi.org/10.1016/j.orgel.2018.05.007
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
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repository.mail.fl_str_mv
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