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TU Berlin

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Research methods (under construction)


Research in the DMF groups covers a wide range of mathematical tools ranging from nonlinear eigenvalue computation to 3D compressible Navier-Stokes flow solvers. The DMF group employs high-performance numerical simulations to investigate non-reactive and reactive flows. For reacting flows in particular, we employ a number of tools shown in the figure above.

Beside the purely equation-based techniques, we develop data-driven models based on Machine Learning e.g. to accelerate the computational time of flow solvers. Our overachring goal is to understand fundamental physical phenomena in fluid flows to improve large-scale technical applications.

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