Physics-based machine learning via correcting analytical model predictions towards high-fidelity simulation solutions – a hybrid modelling approach
No abstract available.
URL: https://publications.hereon.de/id/50458/
Authors:Bock, F., Keller, S., Huber, N., Klusemann, B.
Year:2022
In: Fraunhofer-Workshop on “Data-driven modeling and optimization along the processing-structure-properties chain for materials and process design”
Location:Virtual
Date:18.05.2022 - 19.05.2022
Cite as: Bock, F.; Keller, S.; Huber, N.; Klusemann, B.: Physics-based machine learning via correcting analytical model predictions towards high-fidelity simulation solutions – a hybrid modelling approach. In: Fraunhofer-Workshop on “Data-driven modeling and optimization along the processing-structure-properties chain for materials and process design”. Virtual, 18.05.2022 - 19.05.2022, 2022.
