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Artificial Intelligence Aids Materials Fabrication

2017 IoT Predictions AI Amherst IoT Artificial Intelligence Boston Computational materials databahn DMSE MIT Elsa Olivetti Elsa Olivetti MIT Internet of Things IoT Materials fabrication MIT iot

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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Artificial intelligence Aids Materials Fabrication

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