34 citations · 41 across the 9 of their papers we have counts for
4 papers · 1 filter
Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls
Henrik Lange, Reik Thormann, Philipp Bekemeyer
Unsteady aerodynamic phenomena, such as gusts, turbulence, and fluid-structure interactions affect an aircraft during flight. For design, optimisation and certification, it is indi…
Evaluation of State-of-the-Art Deep Learning Architectures for Aerodynamical Predictions
Jan Scherz, Derrick Hines, Philipp Bekemeyer
Surrogate models are used to substitute classical numerical solvers in engineering applications where the computational cost of the latter becomes infeasible. For instance, in aero…
Solving Nonlinear Partial Differential Equations via a Hybrid Newton Method Using Quantum Linear System Solver
Maximilian Mandelt Buxadé, Stefan Langer, Philipp Bekemeyer
To approximate solutions of complex nonlinear partial differential equations remains a computational challenge, especially for sets of equations relevant in industry, such as Euler…
Goal-Driven Adaptive Sampling Strategies for Machine Learning Models Predicting Fields
Jigar Parekh, Philipp Bekemeyer
Machine learning models are widely regarded as a way forward to tackle multi-query challenges that arise once expensive black-box simulations such as computational fluid dynamics a…