Physics-Informed Machine Learning for Fatigue and Fracture Analysis and Prediction: A Scoping Review
Physics-Informed Machine Learning has emerged as a powerful paradigm for fatigue and fracture analysis, combining the data-driven flexibility of neural networks with the consistency of physical laws. This scoping review maps the extent, range, and nature of research on PIML applied to fatigue life prediction, crack gro...