Nature, Published online: 15 April 2026; doi:10.1038/s41586-026-10223-1

A composable neural network emulator is described for speeding up thermoelectric generator design, demonstrating the ability to predict generator performance with >99% accuracy while taking only 0.01% of the time compared with commercial finite-element solvers.