Physics-Informed Neural Operators: Learning The Solver, Not Just One Solution

Our PINN scene learned one solution field for one PDE setup. A Physics-Informed Neural Operator learns the map from input fields, like material coefficients or source terms, to the full solution across… pic.twitter.com/bAtfX2ashe

— Mathelirium (@mathelirium) 23 mars 2026

Physics-Informed Neural Operators: Learning The Solver, Not Just One Solution Our PINN scene learned one solution field for one PDE setup. A Physics-Informed Neural Operator learns the map from input fields, like material coefficients or source terms, to the full solution across a whole family of PDE problems. So, the goal is no longer just one approximate answer, but a reusable solver-shaped object guided by the physics itself.

→ View original post on X — @animaanandkumar, 2026-03-23 14:45 UTC