Rapid Synthesis of "Best-in-Class" Materials for Specific Ap

Researchers have created an autonomous system that can determine how to synthesize “best-in-class” materials for specific uses in hours or days.

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Kristofer Reyes , Jeffrey Bennett , Fazel Bateni , Venkat Punati , Junyu Wang , Megan Craig , Christine Stark , Sina Sadeghi , Milad Abolhasani , Negin Orouji , Felix Castellano , Michael Rosko , University At Buffalo , Carolina State University , Brown University , Chemical Sciences , Research Opportunities Initiative , Quantum Technology Industry , Energy Materials , Dreyfus Program For Machine , National Science Foundation , Quantum Technology , Specific Applications , Image Credit , North Carolina State , Study Corresponding Author , Associate Professor , Chemical Engineering , Technology Industry Focus , Advanced Energy , Goodnight Innovation Distinguished Chair , Opportunities Initiative , Dreyfus Program , Machine Learning , Smart Dope , Self Driving Fluidic Lab , Accelerated Development , Doped Perovskite Quantum ,