Pages that link to "Item:Q2108599"
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The following pages link to Towards high-accuracy deep learning inference of compressible flows over aerofoils (Q2108599):
Displaying 7 items.
- Deep-learning accelerated calculation of real-fluid properties in numerical simulation of complex flowfields (Q2132659) (← links)
- DeepM\&Mnet for hypersonics: predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators (Q2133505) (← links)
- Output-based adaptive aerodynamic simulations using convolutional neural networks (Q2245362) (← links)
- A deep learning approach for the transonic flow field predictions around airfoils (Q2670066) (← links)
- A comparative study of learning techniques for the compressible aerodynamics over a transonic RAE2822 airfoil (Q2698730) (← links)
- Physics-informed deep learning for simultaneous surrogate modeling and PDE-constrained optimization of an airfoil geometry (Q6097587) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
