According to AI at Meta, Meta has released the Open Molecular Crystals (OMC25) dataset, which contains 25 million molecular crystal structures, to support the FastCSP workflow for AI-powered crystal structure prediction (source: AI at Meta Twitter, August 5, 2025). This large-scale dataset enables researchers and AI developers to accelerate drug discovery, materials science, and computational chemistry by providing a comprehensive foundation for training and benchmarking generative AI models. The release of OMC25 is expected to drive innovation in the pharmaceutical and materials industries by facilitating the development of new AI algorithms for crystal structure prediction and molecular property optimization (source: Meta research paper).

According to AI at Meta, the Meta FAIR Chemistry team has announced FastCSP, a new AI-driven workflow designed to rapidly generate stable crystal structures for organic molecules. This technology significantly accelerates material discovery efforts by automating and optimizing the design of molecular crystals, reducing the time required for researchers and businesses to identify viable compounds for new materials and pharmaceuticals (source: AI at Meta, August 5, 2025). The deployment of FastCSP demonstrates how AI is transforming materials science, opening commercial opportunities in drug development, electronics, and advanced manufacturing through faster R&D cycles and improved accuracy in predicting molecular stability.