Home > Publications database > Quantifying the Absorption Onset in the Quantum Efficiency of Emerging Photovoltaic Devices > print

001     890999
005     20240712112942.0
024 7 _ |a 10.1002/aenm.202100022
|2 doi
024 7 _ |a 1614-6832
|2 ISSN
024 7 _ |a 1614-6840
|2 ISSN
024 7 _ |a 2128/27750
|2 Handle
024 7 _ |a WOS:000625673700001
|2 WOS
037 _ _ |a FZJ-2021-01306
082 _ _ |a 050
100 1 _ |a Almora, Osbel
|0 0000-0002-2523-0203
|b 0
|e Corresponding author
245 _ _ |a Quantifying the Absorption Onset in the Quantum Efficiency of Emerging Photovoltaic Devices
260 _ _ |a Weinheim
|c 2021
|b Wiley-VCH
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1621495454_2928
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The external quantum efficiency (EQE), also known as incident‐photon‐to‐collected‐electron spectra are typically used to access the energy dependent photocurrent losses for photovoltaic devices. The integral over the EQE spectrum results in the theoretical short‐circuit current under a given incident illumination spectrum. Additionally, one can also estimate the photovoltaic bandgap energy (Eg) from the inflection point in the absorption threshold region. The latter has recently been implemented in the “Emerging PV reports,” where the highest power conversion efficiencies are listed for different application categories, as a function of Eg. Furthermore, the device performance is put into perspective thereby relating it to the corresponding theoretical limit in the Shockley–Queisser (SQ) model. Here, the evaluation of the EQE spectrum through the sigmoid function is discussed and proven to effectively report the Eg value and the sigmoid wavelength range λs, which quantifies the steepness of the absorption onset. It is also shown how EQE spectra with large λs indicate significant photovoltage losses and present the corresponding implications on the photocurrent SQ model. Similarly, the difference between the photovoltaic and optical bandgap is analyzed in terms of λs.
536 _ _ |a 121 - Photovoltaik und Windenergie (POF4-121)
|0 G:(DE-HGF)POF4-121
|c POF4-121
|x 0
|f POF IV
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Cabrera, Carlos I.
|0 0000-0003-1699-695X
|b 1
700 1 _ |a Garcia-Cerrillo, Jose
|0 0000-0002-7922-6824
|b 2
700 1 _ |a Kirchartz, Thomas
|0 P:(DE-Juel1)159457
|b 3
700 1 _ |a Rau, Uwe
|0 P:(DE-Juel1)143905
|b 4
|u fzj
700 1 _ |a Brabec, Christoph J.
|0 P:(DE-Juel1)176427
|b 5
773 _ _ |a 10.1002/aenm.202100022
|g p. 2100022 -
|0 PERI:(DE-600)2594556-7
|n 16
|p 2100022
|t Advanced energy materials
|v 11
|y 2021
|x 1614-6840
856 4 _ |u https://juser.fz-juelich.de/record/890999/files/aenm.202100022.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:890999
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)159457
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)143905
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)176427
913 0 _ |a DE-HGF
|b Energie
|l Erneuerbare Energien
|1 G:(DE-HGF)POF3-120
|0 G:(DE-HGF)POF3-121
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-100
|4 G:(DE-HGF)POF
|v Solar cells of the next generation
|x 0
913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Materialien und Technologien für die Energiewende (MTET)
|1 G:(DE-HGF)POF4-120
|0 G:(DE-HGF)POF4-121
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-100
|4 G:(DE-HGF)POF
|v Photovoltaik und Windenergie
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2021-01-30
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ADV ENERGY MATER : 2019
|d 2021-01-30
915 _ _ |a Creative Commons Attribution-NonCommercial CC BY-NC 4.0
|0 LIC:(DE-HGF)CCBYNC4
|2 HGFVOC
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2021-01-30
|w ger
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-30
915 _ _ |a IF >= 25
|0 StatID:(DE-HGF)9925
|2 StatID
|b ADV ENERGY MATER : 2019
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2021-01-30
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2021-01-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2021-01-30
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IEK-11-20140314
|k IEK-11
|l Helmholtz-Institut Erlangen-Nürnberg Erneuerbare Energien
|x 0
920 1 _ |0 I:(DE-Juel1)IEK-5-20101013
|k IEK-5
|l Photovoltaik
|x 1
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IEK-11-20140314
980 _ _ |a I:(DE-Juel1)IEK-5-20101013
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)IET-2-20140314
981 _ _ |a I:(DE-Juel1)IMD-3-20101013
981 _ _ |a I:(DE-Juel1)IET-2-20140314

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21