According to AI at Meta, the release of the Open Molecules 2025 (OMol25) dataset and the Universal Model for Atoms (UMA) introduces advanced Density Functional Theory (DFT) data and machine learning potential for molecular chemistry, providing a significant boost to AI-driven materials discovery. This development is expected to accelerate computational research and innovation in materials science, a sector closely monitored by crypto traders for blockchain applications in scientific data provenance and decentralized research platforms. As AI models like UMA gain traction, the integration of AI with blockchain technology could drive demand for tokens supporting decentralized science (DeSci) and data validation, impacting related cryptocurrency prices and trading volumes (Source: AI at Meta, May 19, 2025).