Scientists at the National Renewable Energy Laboratory (NREL) are helping pave the way for the next generation of data-driven, AI-enabled material science.
In a new article in the journal Patterns, the authors describe a decade-long effort to build a modern data ecosystem to support close interaction between computational sciences and materials sciences. They want people to know that this is not an easy feat, but also that the importance of such a system cannot be overstated.
The article, “Research Data Infrastructure for High-Throughput Experimental Materials Science,” appears as the cover story in the journal Patterns and provides a blueprint for the development of future research data infrastructure in a better way, which is designed to increase the integration of experimental and data research in the world of materials science.