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Fusion-DeepONet for Hypersonic Flows by Fernando is a document available to read on EtoBox.

What is Fusion-DeepONet for Hypersonic Flows about?

The document presents Fusion-DeepONet, a novel neural operator designed for efficient prediction of geometry-dependent hypersonic and supersonic flow fields, crucial for aerospace vehicle design. It demonstrates superior performance in learning complex flow patterns with fewer parameters compared to existing models, while also effectively predicting heat flux on surfaces of reentry capsules. The study emphasizes the importance of surrogate models in optimizing designs without the need for costly simulations

Author

Fernando

Language

EN