Rapid Synthesis of Best-in-Class Materials for Specific Applications

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 ,