Scientists seeking to design new catalysts to convert carbon dioxide (CO2) to methane have used a novel artificial intelligence (AI) approach to identify key catalytic properties. By using this method to track the size, structure, and chemistry of catalytic particles under real reaction conditions, the scientists can identify which properties correspond to the best catalytic performance, and then use that information to guide the design of more efficient catalysts.
from Top Technology News -- ScienceDaily https://ift.tt/2pH9bfq
Tuesday, 22 October 2019
Machine-learning analysis of X-ray data picks out key catalytic properties
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