Right. And the use-case for PINNs is, e.g., modeling a known function that is not solvable analytically?
No. That is the use case for numerical analysis, where you can develop a high performance, accurate algorithm based on the mathematical analysis of the problem.
It is really kind of silly to want to encode the solution in some neural network.
Maybe there are some very special problems, without well developed silver where they work.