Fast Predictions of Aircraft Aerodynamics Using Deep-Learning Techniques

What is it about?

Determining the aerodynamic performance of aircraft is crucial to judge performance and come up with better configurations. This typically involves complex and cost intensive numerical simulations. We show how deep-learning methods can be employed to circumvent the computational cost bottleneck and how these methods perform compared to well-established approaches in the field.

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