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arXiv Machine Learning By Oscar L. Cruz-Gonzalez, Val\'erie Deplano, Badih Ghattas

Learning Unsteady Aneurysm Hemodynamics with Physics-Informed DeepONets

Read the original on arXiv Machine Learning →

arXiv:2608. 13629v1 Announce Type: cross Abstract: Clinically actionable, patient-specific hemodynamic assessment, specifically wall shear stress, vortex structure and pressure distributions, is critical for determining risky or unfavorable evolution in Abdominal Aortic Aneurysms (AAA).

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