most citedMachine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics

24 citations · 25 across the 4 of their papers we have counts for

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math.NA2021★ 1 cited

A Differentiable Solver Approach to Operator Inference

Dirk Hartmann, Lukas Failer

Model Order Reduction is a key technology for industrial applications in the context of digital twins. Key requirements are non-intrusiveness, physics-awareness, as well as robustn…

math.NA2021

Model Order Reduction based on Runge-Kutta Neural Network

Qinyu Zhuang, Juan Manuel Lorenzi, Hans-Joachim Bungartz +1

Model Order Reduction (MOR) methods enable the generation of real-time-capable digital twins, which can enable various novel value streams in industry. While traditional projection…