Tomasz Roleder

Operator learning for hemodynamics on variable domains: 2D stenosis and bifurcation

We study neural-operator surrogates for steady incompressible Navier-Stokes flow on variable two-dimensional coronary-like domains. Two finite-element datasets are constructed: stenosed channels and bifurcating vessels, each with 1000 geometries. We compare a reference-domain MIO...