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A perylene-based acceptor (PMI-FF-PMI), consisting of two perylene monoimide (PMI) units bridged with a dihydroindeno[1,2-]fluorene molecule was developed as a potential non-fullerene acceptor (NFA) for organic solar cells (OSCs). The synthesized NFA was combined with the high-performance donor polymer D18 to fabricate efficient OSCs. With an effective bandgap of 2.02 eV, the D18:PMI-FF-PMI blend can be categorized as a wide-bandgap OSC and is an attractive candidate for application as a wide-bandgap sub-cell in all-organic triple-junction solar cell devices. Owing to their large effective bandgap, D18:PMI-FF-PMI solar cells are characterized by an extremely high open-circuit voltage ( ) of 1.41 V, which to the best of our knowledge is the highest reported value for solution-processed OSCs so far. Despite the exceptionally high of this blend, a comparatively large non-radiative voltage loss (Δ ) of 0.25 V was derived from a detailed voltage loss analysis. Measurements of the electroluminescence quantum yield (ELQY) of the solar cell reveal high ELQY values of ∼0.1%, which contradicts the ELQY values derived from the non-radiative voltage loss (Δ = 0.25 V, ELQY = 0.0063%). This work should help to raise awareness that (especially for BHJ blends with small Δ or Δ offsets) the measured ELQY cannot be straightforwardly used to calculate the Δ . To avoid any misinterpretation of the non-radiative voltage losses, the presented ELQY discrepancies for the D18:PMI-FF-PMI system should encourage OPV researchers to primarily rely on the Δ values derived from the presented voltage loss analysis based on EQE and - measurements.
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http://dx.doi.org/10.1039/d1ta09752k | DOI Listing |
iScience
September 2025
Energy Conversion Research Center, Electrical Materials Research Division, Korea Electrotechnology Research Institute, Changwon, Gyeongsangnam-do 51543, Republic of Korea.
Indoor photovoltaics (IPVs) are small and not optimized for versatile environments, making them environmentally sensitive. To expand the application of energy-harvesting photovoltaics, overcoming the current problems and mismatch loss is important. In this study, we found that IPVs are sensitive to changes in current density under low illuminance, and we introduced a protocol to reveal the modules resulting in the smallest standard deviation using current maps.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Department of Materials Science and Engineering, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway.
LiNiMnO (LNMO) is a promising material for the cathode of lithium-ion batteries (LiBs); however, its high operating voltage causes stability issues when used with carbonate battery electrolytes. Ionic liquids are a viable alternative to conventional carbonate solvents due to their thermal stability and electrochemical window. This work reports the performance of LNMO/Li half cells with an ionic liquid electrolyte (ILE) composed of 0.
View Article and Find Full Text PDFPestic Biochem Physiol
November 2025
Université Côte d'Azur, INRAE, CNRS, ISA, Sophia Antipolis, France. Electronic address:
Spodoptera frugiperda is a major crop pest that invaded Thailand in 2018 which cause significant damage, particularly to maize. In recent years, a loss of efficacy of certain insecticides has been observed, suggesting the emergence of resistance. The aim of our study was to investigate the molecular mechanisms of resistance in S.
View Article and Find Full Text PDFSci Rep
September 2025
Fukushima Renewable Energy Institute, AIST, Japan, Koriyama.
This research work proposes a hybrid Manta ray Forging Optimization- Sine Cosine Algorithm (MRFO-SCA) for Congestion Management (CM) that addresses the power system transmission line congestion cost challenges with the integration of Wind Energy System (WES). The proposed method focuses on two key objectives: first, identifying the most influential bus within the power system using the Bus Sensitivity Factor (BSF) to optimally place a wind power source, thereby impacting the power flow in overloaded lines. Second, MRFO-SCA has been developed for optimal power rescheduling of the generators to alleviate congestion while minimizing the congestion cost.
View Article and Find Full Text PDFThis paper presents a novel multiscale signal processing framework for power quality disturbance (PQD) and cyber intrusion detection in smart grids, combining Non-Subsampled Contourlet Transform (NSCT), Split Augmented Lagrangian Shrinkage Algorithm (SALSA), and Morphological Component Analysis (MCA). A key innovation lies in an adaptive weighting mechanism within NSCT's directional sub bands, enabling dynamic energy redistribution and enhanced representation of both low-frequency anomalies (e.g.
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