most citedResidual U-Net for accurate and efficient prediction of hemodynamics in two-dimensional asymmetric stenosis

4 citations · 4 across the 3 of their papers we have counts for

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physics.flu-dyn2026

Lattice Boltzmann methods for simulating non-Newtonian fluids: A comprehensive review

Vedad Dzanic, Qiuxiang Huang, Christopher S. From +1

Non-Newtonian fluids encompass a large family of fluids with additional nonlinear material properties, contributing to non-trivial flow behaviour that cannot be captured through a…

physics.flu-dyn2025★ 4 cited

Residual U-Net for accurate and efficient prediction of hemodynamics in two-dimensional asymmetric stenosis

Xintong Zou, Suiyang Tong, Wenhui Peng +2

This study presents residual U-Net (U-ResNet), a deep learning surrogate model for predicting steady hemodynamic fields in two-dimensional asymmetric stenotic channels at Reynolds…