SKM 2023 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 46: Poster: Machine Learning and Data Analytics

Donnerstag, 30. März 2023, 13:00–16:00, P1

13:00 DY 46.1 Time series analysis of loudness fluctuations in musical performances and psychophysical experiments — •Benjamin Schulz, Corentin Nelias, and Theo Geisel
13:00 DY 46.2 Battery modeling: Fusing equivalent circuit models with data-driven surrogate modelling — •Limei Jin, Franz P. Bereck, Josef Granwehr, Rüdiger-A. Eichel, Karsten Reuter, and Christoph Scheurer
13:00 DY 46.3 Machine learning categorization of the Anderson model — •Quangminh Bui-Le and Rudolf Römer
13:00 DY 46.4 Neural-network based Monte Carlo Markov chain simulation of spin glasses — •Michael Engbers and Alexander K. Hartmann
13:00 DY 46.5 Influence of mode-coupling on the information processing rate of Spin-VCSEL reservoir computer — •Lukas Mühlnickel, Lina Jaurigue, and Kathy Lüdge
13:00 DY 46.6 Deep learning-based clogging prediction in outflow of hard and soft grains — •Seddigheh Nikipar, Dmitry Puzyrev, Jing Wang, and Ralf Stannarius
13:00 DY 46.7 Optical reservoir computing with incoherent optical memory — •Mingwei Yang, Elizabeth Robertson, Leon Meßner, Norman Vincenz Ewald, Luisa Esguerra, and Janik Wolters
13:00 DY 46.8 Metadynamics Simulations of Chemical Reactions in Solution — •Azad Kirsan, Sagarmoy Mandal, and Bernd Meyer
13:00 DY 46.9 Extreme Fluctuations of the Stochastic Nonlinear Schrödinger Equation via Large Deviation Theory — •Sumeja Bureković, Tobias Schäfer, and Rainer Grauer
13:00 DY 46.10 Light propagation in media with electric and magnetic disorder: 3D Anderson localization — •Walter Schirmacher, Thomas Franosch, Marco Leonetti, and Giancarlo Ruocco
13:00 DY 46.11 The nature of non-phononic excitations in disordered systems — •Walter Schirmacher, Matteo Paoluzzi, and Giancarlo Ruocco
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