Regensburg 2022 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 51: Machine Learning in Dynamics and Statistical Physics (joint session DY/SOE)

Freitag, 9. September 2022, 10:00–11:15, H19

	10:00	DY 51.1	Reinforcement learning of optimal active particle navigation — •Mahdi Nasiri and Benno Liebchen
	10:15	DY 51.2	Deep reinforcement learning for chemotactic active particles — •Edwin Loran, Mahdi Nasiri, and Benno Liebchen
	10:30	DY 51.3	Machine Learning the 2D percolation transition — •Djénabou Bayo, Andreas Honecker, and Rudolf A. Römer
	10:45	DY 51.4	Exploring structure-property maps with kernel principal covariates regression — •Guillaume Fraux, Benjamin Helfrecht, Rose Cersonsky, and Michele Ceriotti
	11:00	DY 51.5	Investigation of plasticity in off-resonant delay-coupled reservoir computing — •Jonas Naujoks, Felix Köster, and Kathy Lüdge