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Mathematics-Informed Neural Network for Acoustic Scattering by Parallel Plates
Fast Buffet-Onset Prediction and Optimization Method Based on Pretrained Flowfield Prediction Model
Data-Driven Nonintrusive Model-Order Reduction for Aerodynamic Design Optimization
Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Power Setting Estimation of Departing Civil Jet Aircraft Based on Machine Learning
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Mesh-Agnostic Decoders for Supercritical Airfoil Prediction and Inverse Design
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Domain Decomposition Strategy for Combining Nonlinear and Linear Reduced-Order Models
Generative Adversarial Networks for Inverse Design of Two-Dimensional Spinodoid Metamaterials
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Machine Learning Aided Low-Order Predictions of Fan Stage Broadband Interaction Noise
Assessing the Impact of Metrics on the Choice of Prognostic Methodologies
Physics-Informed Machine Learning Using Low-Fidelity Flowfields for Inverse Airfoil Shape Design
Neural Network with Local Converging Input for Unstructured-Grid Computational Fluid Dynamics
Introduction to the Virtual Collection on Machine Learning in Aerospace