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SKM 2023 – wissenschaftliches Programm

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TT: Fachverband Tiefe Temperaturen

TT 32: Molecular Electronics and Excited State Properties (joint session CPP/TT)

Mittwoch, 29. März 2023, 09:30–12:30, GÖR 226

09:30 TT 32.1 Strong Solvatochromism in a Two Metal Center Photocatalyst Molecule — •Miftahussurur Hamidi Putra and Axel Groß
09:45 TT 32.2 Dynamic Charge-Transport and Charge-Transfer Regimes for Electron-Phonon-Coupled Molecular Systems — •Michel Panhans, Sebastian Hutsch, and Frank Ortmann
10:00 TT 32.3 Multichromophore Macrocycles of Perylene Bisimide Dyes as Fluorescent OLED Emitters — •Björn Ewald, Ulrich Müller, Peter Spenst, Philipp Kagerer, Theodor Kaiser, Matthias Stolte, Frank Würthner, and Jens Pflaum
10:15 TT 32.4 A Tool Kit for Analyzing Emission Spectra of Multi-Molecular States — •Sebastian Hammer, Theresa Linderl, Kristofer Tvingstedt, Wolfgang Bruetting, and Jens Pflaum
10:30 TT 32.5 Singlet Fission search in polyacene molecules in gas-phase and on rare-gas clusters using ab initio methods — •Selmane Ferchane and Michael Walter
10:45 TT 32.6 Template-Designed Organic Electronics — •Klaus Meerholz
11:00 TT 32.7 Optically detected magnetic resonance of TADF OLED emitters — •Pascal Schady, Mona Löther, Fabian Binder, Vladimir Dyakonov, and Andreas Sperlich
  11:15 15 min. break
11:30 TT 32.8 Influence of Fluorination on the Temperature Dependent Optical Transition in β- Phase ZnPc Single Crystals — •Lisa Schraut-May, Kilian Strauß, Sebastian Hammer, Kilian Frank, Bert Nickel, and Jens Pflaum
11:45 TT 32.9 Charge Delocalization and Vibronic Couplings in Quadrupolar Squaraine DyesDaniel Timmer, Fulu Zheng, Moritz Gittinger, Thomas Quenzel, •Daniel C. Lünemann, Katrin Winte, Yu Zhang, Mohamed E. Madjet, Jennifer Zablocki, Arne Lützen, Jin-Hui Zhong, Antonietta De Sio, Thomas Frauenheim, Sergei Tretiak, and Christoph Lienau
12:00 TT 32.10 In-operando observation of polaron formation in SAMFETs using NEXAFS spectroscopyManuel Johnson, •Andreas Späth, Baolin Zhao, Marcus Halik, and Rainer H. Fink
12:15 TT 32.11 Machine learning for molecular design of organic molecules and reaction optimization — •Julia Westermayr, Reinhard J. Maurer, and Detlev Belder
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