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A High Throughput Platform to Minimize Voltage and Fill Factor Losses.

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Title: A High Throughput Platform to Minimize Voltage and Fill Factor Losses.
Authors: Haffner‐Schirmer, Julian Matthias1 (AUTHOR) julian.haffner-schirmer@fau.de, Le Corre, Vincent Marc1,2 (AUTHOR), Forberich, Karen2 (AUTHOR), Egelhaaf, Hans Joachim1 (AUTHOR), Osterrieder, Tobias2 (AUTHOR), Wortmann, Jonas1,2 (AUTHOR), Liu, Chao1,2 (AUTHOR), Weitz, Paul1 (AUTHOR), Heumüller, Thomas1,2 (AUTHOR), Bornschlegl, Andreas Josef1 (AUTHOR), Wachsmuth, Josua1 (AUTHOR), Distler, Andreas1 (AUTHOR), Wagner, Michael2 (AUTHOR), Peng, Zijian1 (AUTHOR), Lüer, Larry1 (AUTHOR) larry.lueer@fau.de, Brabec, Christoph Joseph1,2 (AUTHOR) christoph.brabec@fau.de
Source: Advanced Energy Materials. 5/6/2025, Vol. 15 Issue 17, p1-10. 10p.
Subject Terms: *Open-circuit voltage, *Solar cells, *Charge-charge interactions, *Energy conversion
Abstract: Organic photovoltaics (OPV) now can exceed 20% power conversion efficiency in single junction solar cells. To close the remaining gap to competing technologies, both fill factor and open‐circuit voltage must be optimized. The Langevin reduction factor is a well‐known concept that measures the degree to which charge extraction is favored over charge recombination. It is therefore ideally suited as an optimization target in high‐throughput workflows; however, its evaluation so far requires expert interaction. Here, an integrated high‐throughput workflow is presented, able to obtain the Langevin reduction factor within a few seconds with high accuracy without human intervention and thus suited for autonomous experiments. This is achieved by combining evidence from UV–vis spectra, current–voltage curves, and a novel implementation of microsecond transient absorption kinetics allowing, for the first time, the intrinsic determination of charge absorption cross‐sections, which is crucial to reporting stationary charge densities. The method is demonstrated by varying the donor:acceptor ratio of the high performance OPV blend PM6:Y12. The high reproducibility of the method allows to find a strictly exponential relationship between the PM6 exciton energy and the Langevin reduction factor. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 185000060
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A High Throughput Platform to Minimize Voltage and Fill Factor Losses.
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  Data: *<searchLink fieldCode="DE" term="%22Open-circuit+voltage%22">Open-circuit voltage</searchLink><br />*<searchLink fieldCode="DE" term="%22Solar+cells%22">Solar cells</searchLink><br />*<searchLink fieldCode="DE" term="%22Charge-charge+interactions%22">Charge-charge interactions</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+conversion%22">Energy conversion</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Organic photovoltaics (OPV) now can exceed 20% power conversion efficiency in single junction solar cells. To close the remaining gap to competing technologies, both fill factor and open‐circuit voltage must be optimized. The Langevin reduction factor is a well‐known concept that measures the degree to which charge extraction is favored over charge recombination. It is therefore ideally suited as an optimization target in high‐throughput workflows; however, its evaluation so far requires expert interaction. Here, an integrated high‐throughput workflow is presented, able to obtain the Langevin reduction factor within a few seconds with high accuracy without human intervention and thus suited for autonomous experiments. This is achieved by combining evidence from UV–vis spectra, current–voltage curves, and a novel implementation of microsecond transient absorption kinetics allowing, for the first time, the intrinsic determination of charge absorption cross‐sections, which is crucial to reporting stationary charge densities. The method is demonstrated by varying the donor:acceptor ratio of the high performance OPV blend PM6:Y12. The high reproducibility of the method allows to find a strictly exponential relationship between the PM6 exciton energy and the Langevin reduction factor. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=185000060
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        Value: 10.1002/aenm.202403479
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      – Code: eng
        Text: English
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        PageCount: 10
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        Type: general
      – SubjectFull: Solar cells
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      – SubjectFull: Charge-charge interactions
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      – SubjectFull: Energy conversion
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      – TitleFull: A High Throughput Platform to Minimize Voltage and Fill Factor Losses.
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              Text: 5/6/2025
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              Y: 2025
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