%0 Journal Article
%A Haffner-Schirmer, Julian
%A Le Corre, Vincent Marc
%A Forberich, Karen
%A Egelhaaf, Hans Joachim
%A Osterrieder, Tobias
%A Wortmann, Jonas
%A Liu, Chao
%A Weitz, Paul
%A Heumüller, Thomas
%A Bornschlegl, Andreas Josef
%A Wachsmuth, Josua
%A Distler, Andreas
%A Wagner, Michael
%A Peng, Zijian
%A Lüer, Larry
%A Brabec, Christoph Joseph
%T A High Throughput Platform to Minimize Voltage and Fill Factor Losses
%J Advanced energy materials
%V 15
%N 17
%@ 1614-6832
%C Weinheim
%I Wiley-VCH
%M FZJ-2025-02639
%P 2403479
%D 2025
%X 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.
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:001395020500001
%R 10.1002/aenm.202403479
%U https://juser.fz-juelich.de/record/1042670