Using big data to design gas separation membranes, reduce CO2

Read the full story from the Columbia University School of Engineering and Applied Science.

Researchers have developed a method that combines big data and machine learning to selectively design gas-filtering polymer membranes to reduce greenhouse gas emissions. Their study is the first to apply an experimentally validated machine learning method to rapidly design and develop advanced gas separation membranes.

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