CD Laboratory for Physics-driven Machine Learning in lndustrial Applications

Head of Laboratory Stefan Posch evaluating a PINN model (physics-informed neural network)

The aim of this CD Laboratory is to enhance the usability of machine learning (ML) for technical problems. Concrete examples include numerical simulations in the fields of structural mechanics and fluid dynamics, or predictive simulation and control.

Christian Doppler Forschungsgesellschaft

Boltzmanngasse 20/1/3 | 1090 Wien | Tel: +43 1 5042205 | Fax: +43 1 5042205-20 | office@cdg.ac.at

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