Numerical methods such as finite element have been flourishing in the past decades for modeling solid mechanics problems via solving governing partial differential equations (PDEs). A salient aspect that distinguishes these numerical is how they approximate physical fields of interest. Physics-informed deep learning (PIDL) a novel approach developed recent years PDE solutions and shows promise ...