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M. U. Ur Rehman

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Open access Sep 2026

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.

M. U. Ur Rehman, Ö. Ekici, Ş. E. Erdener et al. · 0 citations

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