A team led by Takao Mori at Japan’s National Institute for Materials Science (NIMS) published this work in Nature (vol. 652, pages 643–649, 2026). The paper introduces TEGNet, a neural network that predicts thermoelectric generator performance with greater than 99% accuracy while using only 0.01% of the compute time of commercial finite-element solvers.