Graph Neural Network for domain segmentation to predict regions of non-ideal mixing in two-dimensional baffle flow systems
This paper presents a novel approach to address computational challenges in predicting flow features by employing a Graph Neural Network (GNN), which is proficient in predicting flow domain values.Traditional Computational Fluid Dynamics (CFD) simulations, although effective, often require substantial computational resources and time, limiting thei