Reduced-Order Surrogate Modeling of non-Newtonian blood stream inside Cerebral Aneurysm via hybrid POD-Transformer Networks
Accurate and efficient prediction of hemodynamic parameters is essential for assessing the rupture risk of cerebral aneurysms, particularly in the middle cerebral artery (MCA). In this study, we propose a reduced-order modeling framework that combines Proper Orthogonal Decomposition (POD) with a Transformer-based deep...