Researchers Release OMat24 Dataset Containing 110 Million DFT Calculations

Researchers released the Open Materials 2024 (OMat24) dataset this week, providing a collection of more than 110 million density functional theory (DFT) calculations. This dataset covers a wide range of inorganic materials, chemical compositions, and structural configurations to support computational materials science and artificial intelligence research.

The OMat24 dataset functions as a comprehensive resource for scientists studying the properties of inorganic substances. By aggregating these millions of calculations, the project offers a standardized reference for researchers who develop machine learning models to predict material behaviors. The release aims to provide the computational infrastructure necessary for large-scale analysis of material structures, allowing for the systematic exploration of chemical spaces that were previously difficult to map.

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Date: June 2, 2026

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GOAI