An international collaboration has advanced AI in materials research by enhancing the OPTIMADE standard, which facilitates large-scale data sharing and integration. The new version, v1.2, improves data descriptions and definitions, making it easier for researchers to access and utilize diverse materials databases. This development supports AI-driven predictions of material properties, aiding the creation of innovative, sustainable materials. Key institutions involved include Linköping University, UCLouvain, and others across the EU, UK, US, Japan, and China.
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