ABSTRACT: Physics-informed deep learning has drawn tremendous interest in recent years to solve computational physics problems. whose basic concept is to embed physical laws to constrain/inform neural networks. with the need of less data for training a reliable model. This can be achieved by incorporating the residual of physics equations into the loss function. https://www.markymarkscott.com/product-category/strength-gel/