Materials informatics sits at the intersection of experimental science, computation, and data analytics. The aim is simple: use data and models to make discovering, designing, and deploying new ...
AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...
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