When AI Discovers Physics: Inside the Multi-Agent Renaissance of Scientific Machine Learning
Engineering teams know this ritual too well. A promising simulation model works on one equation, collapses on the next geometry, behaves politely in the loss curve, then quietly vandalises the boundary conditions. Someone adjusts the architecture. Someone changes the sampling schedule. Someone adds a physics-informed loss term. Someone discovers, three days later, that the clever idea was mostly a tensor-shape bug wearing a lab coat. ...