MS097A Machine Learning Methods for Aerospace Applications I
Main Organizer:
Dr.
Alexander Ruettgers
(
German Aerospace Center (DLR)
, Germany
)
Chaired by:
Dr. Alexander Ruettgers (German Aerospace Center (DLR) , Germany) , Dr. Philipp Knechtges (German Aerospace Center , Germany)
Dr. Alexander Ruettgers (German Aerospace Center (DLR) , Germany) , Dr. Philipp Knechtges (German Aerospace Center , Germany)
Scheduled presentations:
-
ESSPINNs: Entropy-Stable Finite-Volume Solvers Embedded in Physics-Informed Neural Networks
-
Wall-Based Three-Dimensional Turbulent Flow Reconstruction Using a Physics-Guided ControlNet–AnimateDiff Model
-
Kinetic-energy-flux-constrained model using an artificial neural network for large-eddysimulation of compressible wall-bounded turbulence
-
Preconditioned FEM-informed Neural Networks for Simulation and Optimization of PDEs in Aerospace Applications
-
Neural Predictive Control for Efficient On-Device Control in Hardware-Constrained Aerospace Applications
