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Unpublished / Preprint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

Automated Synthesis of 1-Tetradecylphosphonic Acid-Capped FAPbBr3 Nanocrystals for Light Conversion in Display Applications (2024) Hu H, Shi H, Zhang J, Hauch J, Osvet A, Brabec C Journal article Beginner's Guide to Visual Analysis of Perovskite and Organic Solar Cell Current Density–Voltage Characteristics (2024) These A, Koster LJA, Brabec C, Le Corre VM Journal article Suppression of phase segregation in wide-bandgap perovskites with thiocyanate ions for perovskite/organic tandems with 25.06% efficiency (2024) Zhang Z, Chen W, Jiang X, Cao J, Yang H, Chen H, Yang F, et al. Journal article Guidelines for Material Design in Semitransparent Organic Solar Cells (2024) Forberich K, Troisi A, Liu C, Wagner M, Brabec CJ, Egelhaaf HJ Journal article Single-Layer Carbon Nitride as an Efficient Metal-Free Organic Electron-Transport Material with a Tunable Work Function (2024) Saboor A, Stroyuk O, Raievska O, Liu C, Hauch J, Brabec C Journal article Unraveling Dual Operational Mechanisms in an Air-Stable All Inorganic Perovskite for Nonvolatile Memory and Neuromorphic Computing (2024) Xie Z, Zhang D, Cheng L, Li C, Elia J, Wu J, Tian J, et al. Journal article Accelerating Photostability Evaluation of Perovskite Films through Intelligent Spectral Learning-Based Early Diagnosis (2024) Liu Z, Zhang J, Rao G, Peng Z, Huang Y, Arnold S, Liu B, et al. Journal article Doping of Mesoscopic Charge Extraction Layers Enables the Design of Long-Time Stable Organic Solar Cells (2024) Xu J, Luo J, Gubanov K, Barabash A, Fink R, Heumüller T, Brabec C Journal article In Situ Probing the Crystallization Kinetics in Gas-Quenching-Assisted Coating of Perovskite Films (2024) Qiu S, Majewski M, Dong L, Jang D, Le Corre VM, García Cerrillo J, Ronsin OJ, 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