Dr. Karen Forberich

Institute Materials for Electronics and Energy Technology (i-MEET) (i-MEET)

Unravelling material properties of halide perovskites by combined microwave photoconductivity and time-resolved photoluminescence spectroscopy (2024) Kupfer C, Le Corre VM, Li C, Lüer L, Forberich K, Kato M, Osvet A, Brabec C Journal article Binary cations minimize energy loss in the wide-band-gap perovskite toward efficient all-perovskite tandem solar cells (2024) Zhang K, Liu C, Peng Z, Li C, Tian J, Li C, García Cerrillo J, et al. Journal article PV module power prediction by deep learning on electroluminescence images - Assessing the physics learned by a convolutional neural network (2024) Lüer L, Forberich K, Hepp J, Buerhop-Lutz C, Winkler T, Rodrigues S, Hoffmann M, et al. Journal article Solution-Growth Liquid-Phase Epitaxy of CsPbBr3 on NaCl by Optimizing the Substrate Dissolution (2023) Elia J, Levchuk I, Hou Y, Matt G, These A, Zhao Y, Zhang J, et al. Journal article Comparative analysis of outdoor energy harvest of organic and silicon solar modules for applications in BIPV systems (2023) Feroze S, Distler A, Forberich K, Ahmed Channa I, Doll B, Brabec C, Egelhaaf HJ Journal article Influence of tin oxide decoration on the junction conductivity of silver nanowires (2023) Vogl L, Kalancha V, Schweizer P, Denninger P, Wu M, Brabec C, Forberich K, Spiecker E Journal article Device Performance of Emerging Photovoltaic Materials (Version 3) (2023) Almora O, Baran D, Bazan GC, Cabrera CI, Erten-Ela S, Forberich K, Guo F, et al. Journal article, Review article Observation of reversible light degradation in organic photovoltaics induced by long-persistent radicals (2023) Zhang D, Liu C, Zhang K, Jia Y, Zhong W, Qiu W, Li Y, et al. Journal article Cutting “lab-to-fab” short: high throughput optimization and process assessment in roll-to-roll slot die coating of printed photovoltaics (2023) Wagner M, Distler A, Le Corre VM, Zapf S, Baydar B, Schmidt HD, Heyder M, et al. Journal article Understanding Causalities in Organic Photovoltaics Device Degradation in a Machine-Learning-Driven High-Throughput Platform (2023) Liu C, Lüer L, Le Corre VM, Forberich K, Weitz P, Heumüller T, Du X, et al. Journal article