Our expertise
Our know-how covers the whole range of CFD-based optimization tools, including adjoint-assisted, gradient-based optimization methods and gradient-free approaches based on metamodel-assisted evolutionary algorithms.
We develop our own GPU-based CFD and adjoint solver, with a considerable speed-up compared to pure CPU-based alternatives
We are actively taking part in the development of an adjoint library for the open source CFD toolbox, OpenFOAM, part of which is publicly available
We develop a metamodel and AI-assisted tool based on evolutionary algorithms which treats the evaluation software as a black-box and can be used in numerical optimization in all scientific fields