Chemists developed a new ML framework to improve catalysts

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    A new machine learning framework developed at the U.S. Department of Energy's Brookhaven National Laboratory can hone in on which parts of a multistep chemical conversion should be altered to increase productivity.A new machine learning framework developed at the U.S. Department of Energy’s Brookhaven National Laboratory can hone in on which parts of a multistep chemical conversion should be altered to increase productivity. The technique may assist researchers in determining the shape of catalysts, also known as chemical dealmakers that speed