CORDIS Project
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This project aims to develop a commercial flow solver using deep learning techniques to predict fluid flow solutions rapidly. It focuses on creating a platform for flow data collection and establishing standards for trained models, targeting various industrial applications in simulations.
With the recent breakthrough of deep learning methods, we currenty see the advent of employing this methodology in the context of physical simulations.
Such simulations are widely used in numerous industrial fields, starting from car and airplane manufacturers, over computer graphics and animations to medical blood flow simulations.
The market for computer simulations is currently exceeding 15 billion USD world wide, with rising trends, and 3 billion spent in Europe alone. A significant fracti…
TECHNISCHE UNIVERSITAET MUENCHEN
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