9/6/22    16:30 - 18:30
Data-driven Reduced Simulation Models for Industrial Applications II  
Minisymposium organized by Norbert Hosters, Daniel Wolff and Daniel Hilger
Room: Spitsbergen
Chair: Norbert Hosters
CoChair: Daniel Hilger
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

Physics-aware convolutional neural networks for computational fluid dynamics simulations
Viktor Grimm, Alexander Heinlein and Axel Klawonn

Optimized graph-based methods for subsurface flow simulations
Stein Krogstad, Řystein 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

In silico clinical trials: SILICOFCM – Coupling of physical based and data driven modeling
Nenad Filpovic