AI Agent Research Hub

Mar 10, 2026 · Artificial Intelligence

How Knowledge Distillation Lets Neural Networks Grow Physical Symmetry Without Hard PINN Constraints

The paper introduces Ψ‑NN, a knowledge‑distillation framework that automatically discovers physics‑consistent network structures for PINNs, eliminating the need for manually imposed loss‑function constraints and achieving faster convergence, higher accuracy, and transferable architectures across PDE problems.