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Regensburg 2022 – wissenschaftliches Programm

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SOE: Fachverband Physik sozio-ökonomischer Systeme

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

Freitag, 9. September 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
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