Physics-Informed Neural Networks for Fluid Mechanics

Physics-informed machine learning is a novel approach to solving flow problems with physics-informed neural networks (PINNs), that combines physical knowledge and machine learning.<br/>This study aims to investigate the potential of the application of PINNs in fluid mechanics problems by solving two practical flow problems.<br/><br/>The first...