MS097B Machine Learning Methods for Aerospace Applications II
Main Organizer:
Dr.
Alexander Ruettgers
(
German Aerospace Center (DLR)
, Germany
)
Chaired by:
Dr. Philipp Knechtges (German Aerospace Center , Germany) , Prof. Günther Waxenegger-Wilfing (German Aerospace Center (DLR) , Germany)
Dr. Philipp Knechtges (German Aerospace Center , Germany) , Prof. Günther Waxenegger-Wilfing (German Aerospace Center (DLR) , Germany)
Scheduled presentations:
-
Symbolic Regression Aerodynamic Modeling for High-Speed Projectiles at High Angle of Attack Considering Physical Constraints
-
Learning-Based Control of a Nonlinear and Constrained Liquid Rocket Engine
-
Application of Machine Learning to Dynamic Analysis of Composite Materials
-
Multi-Fidelity Physics Informed Neural Networks for Nonlinear Pseudoshock Modeling in Scramjet Inlets
-
Finite-Element Method Based Neural Networks for Mechanical Building Blocks of Built Infrastructure: Beams, Frames and Plates
-
Fast Infrared Signature Prediction with LBL accuracy from CFD using Machine Learning
