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PINNs for Shockwave Prediction in Supersonic Flow by Dwayne Gutierrez is a document available to read on EtoBox.

What is PINNs for Shockwave Prediction in Supersonic Flow about?

This study explores the use of Physics-Informed Neural Networks (PINNs) to predict shockwave behavior in supersonic flow over a wedge by solving the compressible Euler equations. Key objectives include validating the accuracy of PINNs against analytical shock theory and assessing their generalization across varying conditions. The methodology includes a detailed training workflow, shock detection, and validation against computational fluid dynamics results.

Author

Dwayne Gutierrez

Language

EN