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dc.contributor.authorSuhail, A
dc.contributor.authorPan, Genhua
dc.contributor.authorJenkins, D
dc.contributor.authorIslam, K
dc.date.accessioned2018-02-15T09:49:46Z
dc.date.available2018-02-15T09:49:46Z
dc.date.issued2018-04
dc.identifier.issn0008-6223
dc.identifier.issn1873-3891
dc.identifier.urihttp://hdl.handle.net/10026.1/10783
dc.description.abstract

© 2017 Elsevier Ltd A graphene/Si Schottky junction solar cell is commonly fabricated by using the top-window structure. However, reported devices have many drawbacks such as a small active area of 0.11 cm 2 , s-shape in the J-V curves, recombination process of charge carriers at the graphene/textured Si interface, high cost and a complex fabrication process. Here, we report a novel graphene/Si Schottky junction solar cell with a back contact-structure, which has benefits of a simpler fabrication process, lower fabrication cost, and larger active area in comparison with a device fabricated with the previous structure. Additionally, we found that the PMMA residue left on graphene surfaces is the key to eliminate the s-shape in the J-V curves. Thus, the deep UV treatment of the CVD graphene is applied within the wet transfer process to effectively remove the PMMA residue, suppress the behavior of s-shaped kink in J-V curves and enhance the solar cell efficiency. As a result, the recorded power conversion efficiency of 10% is achieved for graphene/textured Si devices without chemical doping and anti-reflection coating, and this value is improved to 14.1% after applying chemical doping. Doped devices also show great stability and retain 84% of the efficiency after 9 days storage in air.

dc.format.extent520-526
dc.languageen
dc.language.isoen
dc.publisherElsevier
dc.subjectGraphene/Si Schottky junction solar cell
dc.subjects-Shaped kink
dc.subjectDeep UV treatment
dc.subjectTexturing process
dc.titleImproved efficiency of graphene/Si Schottky junction solar cell based on back contact structure and DUV treatment
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000424885800060&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume129
plymouth.publication-statusAccepted
plymouth.journalCarbon
dc.identifier.doi10.1016/j.carbon.2017.12.053
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2017-12-15
dc.identifier.eissn1873-3891
dc.rights.embargoperiodNot known
rioxxterms.funderEPSRC
rioxxterms.identifier.projectNovel Point-of-Care Diagnostic Techniques for Dementia
rioxxterms.versionofrecord10.1016/j.carbon.2017.12.053
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-04
rioxxterms.typeJournal Article/Review
plymouth.funderNovel Point-of-Care Diagnostic Techniques for Dementia::EPSRC


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