Prof. Dr. Christoph Brabec



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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning (2021) Zhao Y, Hauch J, Zhang J, Xu Z, Sun S, Langner S, Hartono NTP, et al. Journal article Adjusting the energy of interfacial states in organic photovoltaics for maximum efficiency (2021) Gasparini N, Camargo FV, Frühwald S, Nagahara T, Classen A, Roland S, Wadsworth A, et al. Journal article High performance tandem organic solar cells via a strongly infrared-absorbing narrow bandgap acceptor (2021) Jia Z, Qin S, Meng L, Ma Q, Angunawela I, Zhang J, Li X, et al. Journal article Luminescence Analysis of PV-Module Soiling in Germany (2021) Doll B, Forberich K, Hepp J, Langner S, Buerhop-Lutz C, Hauch J, Brabec C, Peters IM Journal article Utilizing the unique charge extraction properties of antimony tin oxide nanoparticles for efficient and stable organic photovoltaics (2021) Liu C, Félix R, Forberich K, Du X, Heumüller T, Matt G, Gu E, et al. Journal article Comparison of the sputtered TiO2 anatase and rutile thin films as electron transporting layers in perovskite solar cells (2021) Shahvaranfard F, Li N, Hosseinpour S, Hejazi S, Zhang K, Altomare M, Schmuki P, Brabec C Journal article Rare-Earth Ion-Based Photon Up-Conversion for Transmission-Loss Reduction in Solar Cells (2021) Wang HQ, Osvet A, Batentschuk M, Brabec C Book chapter / Article in edited volumes Inkjet printed organic and perovskite photovoltaics—review and perspectives (2021) Maisch P, Tam KC, Jang D, Steinberger M, Yang F, Brabec C, Egelhaaf HJ Book chapter / Article in edited volumes Solution-coated barriers for organic electronics (2021) Channa IA, Distler A, Brabec C, Egelhaaf HJ Book chapter / Article in edited volumes Module-Power Prediction from PL Measurements using Deep Learning (2021) Hoffmann M, Hepp J, Doll B, Buerhop-Lutz C, Peters IM, Brabec C, Maier A, Christlein V Conference contribution, Conference Contribution