Leslie K Hwang

Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows

Physics-informed neural networks (PINNs) have emerged as a promising framework to develop complex scientific surrogate models, yet their scalability and accuracy often degrade in non-canonical geometries, such as non-rectangular domains or three-dimensional (3D) domains with high aspect ratios. Thes…