SKM 2023 –
wissenschaftliches Programm
SOE 13: Data Analytics of Complex Dynamical Systems (joint session DY/SOE)
Donnerstag, 30. März 2023, 09:30–12:00, MOL 213
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09:30 |
SOE 13.1 |
Reverse-engineering method for XPCS studies of non-equilibrium dynamics — •Anastasia Ragulskaya, Vladimir Starostin, Nafisa Begam, Anita Girelli, Hendrik Rahmann, Mario Reiser, Fabian Westermeier, Michael Sprung, Fajun Zhang, Christian Gutt, and Frank Schreiber
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09:45 |
SOE 13.2 |
Sensitivity of principal components to changes in the presence of non-stationarity — •Henrik Bette and Thomas Guhr
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10:00 |
SOE 13.3 |
Inferring partial differential equations from molecular dynamics simulations — •Oliver Mai, Tim Kroll, Uwe Thiele, and Oliver Kamps
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10:15 |
SOE 13.4 |
Reproducibility of analysis workflows in biomedical physics — •Alexander Schlemmer, Inga Kottlarz, Baltasar Rüchardt, Ulrich Parlitz, and Stefan Luther
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10:30 |
SOE 13.5 |
Bayesian approach to anticipate critical transitions in complex systems — •Martin Heßler and Oliver Kamps
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10:45 |
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15 min. break
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11:00 |
SOE 13.6 |
Hauptvortrag:
Power law error growth rates -- a dynamical mechanism for a strictly finite prediction horizon in weather forecasts — Hynek Bednar, Jonathan Brisch, Burak Budanur, and •Holger Kantz
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11:30 |
SOE 13.7 |
Wave Digital Optimization of a Modified Compact Models of 1T-1R Random Resistive Access Memory Cells — •Bakr Al Beattie, Max Uhlmann, Gerhard Kahmen, and Karlheinz Ochs
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11:45 |
SOE 13.8 |
Discovering Causality and Coupling in high dimensional nonlinear dynamical systems — •Tim Kroll and Oliver Kamps
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