This article discusses the importance of establishing data standards to maximize the benefits of AI in materials science. AI and machine learning are transforming materials discovery, but fragmented and inconsistent data across databases hinder progress. The OPTIMADE initiative aims to standardize data exchange, making it easier for researchers to access and integrate data. This common framework enhances collaboration and accelerates innovation in fields like battery development, high-performance alloys, and more. Future developments will focus on integrating OPTIMADE with other standards and expanding its capabilities.
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