Regensburg 2022 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 19: Machine Learning in Dynamics and Statistical Physics (joint session DY/SOE)

Friday, September 9, 2022, 10:00–11:15, H19

	10:00	SOE 19.1	Reinforcement learning of optimal active particle navigation — •Mahdi Nasiri and Benno Liebchen
	10:15	SOE 19.2	Deep reinforcement learning for chemotactic active particles — •Edwin Loran, Mahdi Nasiri, and Benno Liebchen
	10:30	SOE 19.3	Machine Learning the 2D percolation transition — •Djénabou Bayo, Andreas Honecker, and Rudolf A. Römer
	10:45	SOE 19.4	Exploring structure-property maps with kernel principal covariates regression — •Guillaume Fraux, Benjamin Helfrecht, Rose Cersonsky, and Michele Ceriotti
	11:00	SOE 19.5	Investigation of plasticity in off-resonant delay-coupled reservoir computing — •Jonas Naujoks, Felix Köster, and Kathy Lüdge