Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...
Abstract: Accurate prediction of postoperative facial soft tissue changes is crucial for effective preoperative planning in orthognathic deformity surgery. In this paper, we propose a novel ...
Neural operators, as a powerful approximation to the non-linear operators between infinite-dimensional function spaces, have proved to be promising in accelerating the solution of partial differential ...