Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems

Zhen Zhang, Alessandro Alla, George Em Karniadakis

Inverse problems governed by partial differential equations (PDEs) are central to computational mechanics and are commonly solved by adjoint-based optimization, while physics-infor…