Researchers in Japan developed a physics-informed AI model to visualize chaotic magnetic energy loss in electric motors. This system identifies invisible energy drains that traditional simulations miss. By pinpointing these inefficiencies, engineers can now optimize motor architecture for higher energy density. The result is a direct path toward longer-range electric vehicles.