Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
S26.06: Transport, dynamics and learning
Time:
Thursday, 21/Mar/2024:
8:30am - 10:30am

Session Chair: Michael Herbst
Session Chair: Benjamin Stamm
Location: G22/209

Conference Room 209 in Building 22; size: 40

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Presentations
8:30am - 8:50am

Learning effective dynamics via kernel-based approximation of Koopman generator

V. Nateghi, F. Nüske

Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg



8:50am - 9:10am

Active, Multi-Fidelity Learning for Efficient Molecular Machine Learning

P. Zaspel

University of Wuppertal



9:10am - 9:30am

Artificial Intelligence based detection of local spots in network materials prone to mechanical failure.

B. Bachhav, Z. Wu, B. Markert, F. Bamer

RWTH Aachen University



9:30am - 9:50am

Coupling continuum and high fidelity models with multilevel on-the-fly sparse grids

T. Hülser, S. Matera

Fritz-Haber-Institut der Max-Planck-Gesellschaft