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09 June 2022 16:30 - 18:30
Add Data-driven Reduced Simulation Models for Industrial Applications II Minisymposium organized by Norbert Hosters, Daniel Wolff and Daniel Hilger |
Room: Spitsbergen MS50B Chair: Norbert Hosters CoChair: Daniel Wolff |
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Resolving dispersion coefficients in reduced order chromatography models
Jayghosh S. Rao, Marek Behr and Eric von Lieres Hybrid process modelling combining mechanistic equations with machine learning Jazib Hassan, Jayghosh Rao and Eric von Lieres Optimized graph-based methods for subsurface flow simulations Stein Krogstad, Øystein Klemetsdal, August Johansson and Knut-Andreas Lie A grey box approach for online process monitoring Lars Bogaerts, Arnout Dejans, Patrick Van Rymenant, Matthias Faes and David Moens A Data-Driven Reduced Order Modeling Approach Applied in Context of Numerical Analysis and Optimization of Plastic Profile Extrusion Daniel Hilger and Norbert Hosters In silico clinical trials: SILICOFCM – Coupling of physical based and data driven modeling Nenad Filpovic |
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