Prof. Dr. Christoph Brabec

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

A top-down strategy identifying molecular phase stabilizers to overcome microstructure instabilities in organic solar cells (2019) Zhang C, Heumüller T, Leon S, Gruber W, Burlafinger K, Tang X, Perea JD, et al. Journal article, Original article Thin-Film Electrostatic Discharge Protection for Highly Segmented OLEDs in Automotive Applications (2019) Bechert H, Almora O, Regau K, Matt G, Brabec C, Wehlus T Journal article, Original article (Gd,Lu)AlO3:Dy3+ and (Gd,Lu)(3)Al5O12:Dy3+ as high-temperature thermographic phosphors (2019) Hertle EE, Chepyga L, Osvet A, Brabec C, Batentschuk M, Will S, Zigan L Journal article, Original article Reliable comparison of perovskite solar cell performance using maximum power point tracking (2019) Rakocevic L, Ernst F, Gehlhaar R, Aernouts T, Brabec C, Poortmans J Conference contribution, Abstract of lecture Impurities and Their Influence on the Co-evaporation of Methylammonium Perovskite Thin-film Solar Cells (2019) Borchert J, Levchuk I, Snoek LC, Rothmann MU, Snaith HJ, Brabec C, Herz LM, Johnston MB Conference contribution, Abstract of lecture Fully Printed Infrared Photodetectors from PbS Nanocrystals with Perovskite Ligands (2019) Yousefiamin A, Killilea NA, Sytnyk M, Maisch P, Tam KK, Egelhaaf HJ, Langner S, et al. Journal article, Original article Reliable Performance Comparison of Perovskite Solar Cells Using Optimized Maximum Power Point Tracking (2019) Rakocevic L, Ernst F, Yimga NT, Vashishtha S, Aernouts T, Heumüller T, Brabec C, et al. Journal article Assembling Mesoscale-Structured Organic Interfaces in Perovskite Photovoltaics (2019) Hou Y, Xie C, Radmilovic VV, Puscher B, Wu M, Heumüller T, Karl A, et al. Journal article, Letter The Relevance of Solubility and Miscibility for the Performance of Organic Solar Cells (2019) Langner S, Perea Ospina JD, Zhang C, Li N, Brabec C Authored book Physics-guided characterization and optimization of solar cells using surrogate machine learning model (2019) Ren Z, Oviedo F, Xue H, Thway M, Zhang K, Li N, Perea JD, et al. Conference contribution, Conference Contribution