| Time: | November 28, 2023, 5:30 p.m. (CET) |
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| Meeting mode: | in presence |
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Since 2009, this seminar represents a general platform for talks and exchange in the field of surrogate modelling, in particular Model Order Reduction (MOR) as well as novel data-based techniques in simulation science. Both methodological as well as application oriented presentations highlight the various aspects and the relevance of surrogate modelling in mathematics, technical mechanics, material science, control theory and other fields. We aim both at university members, as well as external persons from science and industry. The seminar is organized by four research groups and represents an activity of the SimTech Cluster of Excellence.
Date: Tuesday, 28 November
Time: 5:30 am
Venue: Universitätsstraße 35, room 150
Topic: Data-driven-based History-Dependent Surrogate Models in the context of stochastic multi-scale simulations for elasto-plastic composites
Speaker: Ludovic Noels (Université de Liege, Belgium)
Abstract: tba