Adaptive Physics-Informed Neural Networks with Overlapping Domain Decomposition for Vascular Flow Velocity Modeling
: Hemodynamic information is crucial for studying cardiovascular pathogenesis and risk assessment. When measurement data are sparse, boundary data are incomplete, and branching geometries are involved, classical computational fluid dynamics (CFD) remains computationally intensive, while standard physics-informed neural...