TY - JOUR
AU - Haffner-Schirmer, Julian
AU - Le Corre, Vincent Marc
AU - Forberich, Karen
AU - Egelhaaf, Hans Joachim
AU - Osterrieder, Tobias
AU - Wortmann, Jonas
AU - Liu, Chao
AU - Weitz, Paul
AU - Heumüller, Thomas
AU - Bornschlegl, Andreas Josef
AU - Wachsmuth, Josua
AU - Distler, Andreas
AU - Wagner, Michael
AU - Peng, Zijian
AU - Lüer, Larry
AU - Brabec, Christoph Joseph
TI - A High Throughput Platform to Minimize Voltage and Fill Factor Losses
JO - Advanced energy materials
VL - 15
IS - 17
SN - 1614-6832
CY - Weinheim
PB - Wiley-VCH
M1 - FZJ-2025-02639
SP - 2403479
PY - 2025
AB - 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.
LB - PUB:(DE-HGF)16
UR - <Go to ISI:>//WOS:001395020500001
DO - DOI:10.1002/aenm.202403479
UR - https://juser.fz-juelich.de/record/1042670
ER -