Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
Meta FAIR has released the Open Materials 2024 (OMat24) dataset, comprising over 110 million density functional theory calculations for inorganic materials. This release also includes accompanying pre-trained EquiformerV2 models, which have achieved state-of-the-art performance on the Matbench Discovery leaderboard. These models can predict ground-state stability and formation energies with high accuracy, aiming to accelerate AI-driven materials discovery. AI
IMPACT Accelerates AI-driven materials discovery by providing a large open dataset and high-performing models for predicting material properties.