Machine Learning Model Accelerates Assessment of Catalysts f

Scientists create computational model for identifying low-cost catalysts that convert biomass into fuels and useful chemicals with low carbon footprint.

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United States , Larry Curtiss , Chenyang Li , Hieu Doan , Laura Thomsonmar , Rajeev Assary , Mingxia Zhou , Royal Society Of Chemistry , Argonne Materials Science Division , Us Department Of Energy , Renewable Energy , Chemical Catalysis For Bioenergy Consortium , Office Of Science , Argonne National Laboratory , Consortium For Computational Physics , Office Of Energy Efficiency , Materials Science Division , Argonne Leadership Computing Facility , Chemical Catalysis , Digital Discovery , Royal Society , Logan Ward , Energy Efficiency , Computational Physics ,