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physics.flu-dyn2026

Evaluation of State-of-the-Art Deep Learning Architectures for Aerodynamical Predictions

Jan Scherz, Derrick Hines, Philipp Bekemeyer

The paper benchmarks four modern deep learning operator learning models as surrogate solvers for aerodynamic predictions, evaluating their ability to predict surface pressure on 2D…

physics.flu-dyn2025

Physics-Informed Neural Networks for Transonic Flows around an Airfoil

Simon Wassing, Stefan Langer, Philipp Bekemeyer

Physics-informed neural networks have gained popularity as a deep-learning based parametric partial differential equation solver. Especially for engineering applications, this appr…