Applying physics-based loss functions to neural networks for improved generalizability in mechanics problems

Samuel J. Raymond, David B. Camarillo

Physics-Informed Machine Learning (PIML) has gained momentum in the last 5 years with scientists and researchers aiming to utilize the benefits afforded by advances in machine lear…