Wall shear stress in coronary arteries and grafts using computational fluid dynamics and physics-informed neural networks
Compared with the Newtonian model, the Carreau–Yasuda formulation captured shear-rate-dependent viscosity effects in stenotic and bifurcation regions, and showed strong agreement with CFD results within their respective training geometries.