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09 June 2022 11:00 - 13:00
Add Data-driven Reduced Simulation Models for Industrial Applications I Minisymposium organized by Norbert Hosters, Daniel Wolff and Daniel Hilger |
Room: Spitsbergen MS50A Chair: Norbert Hosters CoChair: Daniel Hilger |
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TN, ROM, ML, PINNs – Four approaches for real-time temperature estimation in electric motors in comparison
Henning Sauerland, Akiyasu Miyamoto, Anthony Ohazulike, Huihui Xu and Rik W. De Doncker Adaptation of multi-fidelity optimization schemes to nonlinear structural dynamics applications Arne Kaps, Tobias Lehrer, Koushyar Komeilizadeh and Fabian Duddeck Reduced Order Models for Interdisciplinary Optimization of a Compressor Blade Lisa Pretsch, Ilya Arsenyev and Fabian Duddeck Physical Inspired Data-Driven Models using Evolutionary Approach Somayeh Hosseinhashemi, Christoph Thon, Marvin Röhl and Carsten Schilde Physics-aware convolutional neural networks for computational fluid dynamics simulations Viktor Grimm, Alexander Heinlein and Axel Klawonn Data-driven Machine Learning (ML) and Reduced Order Modeling (ROM) Approaches in Industrial Finite Element (FEA) Applications Vasiliki Tsianika, Mariyappa Manohara and Kambiz Kayvantash |
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