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Regensburg 2025 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 28: Poster: Machine Learning, Data Science

Mittwoch, 19. März 2025, 15:00–18:00, P4

15:00 DY 28.1 Thermal Neural Quantum States — •Atiye Abedinnia and Annabelle Bohrdt
15:00 DY 28.2 Neural Networks for Phase Recognition on Lattice Systems — •Shashank Kallappara and Martin Weigel
15:00 DY 28.3 optimization of the algorithm of operation of a series-parallel combined power plant — •Malika Allakulyyeva
15:00 DY 28.4 Stability of Machine-Learned Interatomic Potentials in Molecular Dynamics Simulations for Complex Organic Crystals — •Martin Tritthart, Florian Linder, Lukas Legenstein, Florian Unterkofler, Martin Klotz, and Egbert Zojer
15:00 DY 28.5 Estimating parameters for a simple tipping model from complex Earth system model output — •Jonathan Krönke, Jonathan F. Donges, Johan Rockström, Nils Bochow, and Nico Wunderling
15:00 DY 28.6 Advanced Framework for State of Health Estimation Using Equivalent Circuit Models and Machine Learning — •Limei Jin, Franz Bereck, Josef Granwehr, Rüdiger-A. Eichel, and Christoph Scheurer
15:00 DY 28.7 Parameter estimation and Bayesian comparison of Langevin models describing cell motility — •Yusuke Kato, Jan Albrecht, Hiroshi Kori, Robert Großmann, and Carsten Beta
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