Autonomous chemistry system identifies high-performing and tunable catalysts

Researchers at North Carolina State University (NCSU; Raleigh; www.ncsu.edu) and the University of North Carolina (Chapel Hill; www.unc.edu), with the support of Eastman Chemical Co. (www.eastman.com), have developed a closed-loop autonomous catalysis platform for identifying high-performing catalyst formulations and for investigating how reaction conditions affect selectivity. The new platform couples parallel miniaturized batch reactors for pressurized gas-liquid chemistry with a hierarchical, plate-constrained Bayesian optimization framework for mixed discrete (ligand identity) and continuous (process) variables

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