Fig. 1. GNoME enables efficient discovery.

a, A summary of the GNoME-based discovery shows how model-based filtration and DFT serve as a data flywheel to improve predictions. b, Exploration enabled by GNoME has led to 381,000 new stable materials, almost an order of magnitude larger than previous work. c, 736 structures have been independently experimentally verified, with six examples shown^50–55. d, Improvements from graph network predictions enable efficient discovery in combinatorial regions of materials, for example, with six unique elements, even though the training set stopped at four unique elements. e, GNoME showcases emergent generalization when tested on out-of-domain inputs from random structure search, indicating progress towards a universal energy model.