What happened
On 29 November 2023, Nature published “Scaling deep learning for materials discovery.” Graph Networks for Materials Exploration (GNoME) used active learning and DFT to propose 2.2 million structures predicted to be stable relative to prior datasets; after competition on the hull, 381,000 new entries remained. The authors released structures publicly and compared a subset to experiment and r2SCAN calculations. Independent experimental realization of most candidates remains incomplete, and stability is defined computationally.