Artificial Intelligence Aids Materials Fabrication

 A team of researchers at MIT, the University of Massachusetts at Amherst, and the University of California at Berkeley hope to close that materials-science automation gap, with a new artificial-intelligence system that would pore through research papers to deduce “recipes” for producing particular materials.

“Computational materials scientists have made a lot of progress in the ‘what’ to make — what material to design based on desired properties. But because of that success, the bottleneck has shifted to, ‘Okay, now how do I make it?” - Elsa Olivetti, the Atlantic Richfield Assistant Professor of Energy Studies in MIT’s Department of Materials Science and Engineering (DMSE)

The researchers envision a database that contains materials recipes extracted from millions of papers. Scientists and engineers could enter the name of a target material and any other criteria — precursor materials, reaction conditions, fabrication processes — and pull up suggested recipes.

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