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Seminar Series: Computation & Data on Wed, 27.11.2024, 16:00-18:00

on-site: seminar room 110 online: MS Teams (link via E-Mail: [email protected]) Daniel Wolff: Optimal design through learning-based ap-proaches: Harnessing reinforcement learning and physics-informed neural networks for optimizing flow channels in profile extrusion diesOptimizing product design is crucial across various engineering domains, often relying on computational simulations that can become prohibitively time-consuming for industrial applications. This…

Seminar Series: Computation & Data on Wed, 28.02.2024, 16:00-18:00

Location: Mensa-Room 0001; digital participation (link shared via e-mail) Ali Khalifa: Neural Network-Based Multiscale Modeling of Deagglomeration due to Wall Impact and CollisionsPredicting the evolution of micron-sized particle system  in fluid flows is crucial for natural processes and industrial applications like pharmaceuticals. Fully-resolved simulations are costly due to scale variations. Hence, data-driven approaches offer an attractive…
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Letzte Änderung: 15. February 2023