physics-constrained AI

Researchers report that AI models constrained by the laws of physics have overcome long-standing trade-offs in composite thermal materials, finding designs previously thought impossible. The approach combines machine learning with physical constraints to optimize heat-related properties simultaneously rather than sacrificing one for another. The finding is drawing interest across materials science and engineering circles for its potential applications in electronics cooling, energy systems and advanced manufacturing.