{"id":5172,"date":"2020-05-18T10:51:56","date_gmt":"2020-05-18T09:51:56","guid":{"rendered":"https:\/\/www.innovationnewsnetwork.com\/?p=5172"},"modified":"2020-05-18T10:58:10","modified_gmt":"2020-05-18T09:58:10","slug":"scientists-create-gas-filtering-membranes-using-machine-learning","status":"publish","type":"post","link":"https:\/\/www.innovationnewsnetwork.com\/scientists-create-gas-filtering-membranes-using-machine-learning\/5172\/","title":{"rendered":"Scientists create gas-filtering membranes using machine learning"},"content":{"rendered":"
Developed by scientists at the University of South Carolina<\/a> and Columbia University<\/a>, the new method mixes machine learning with synthetic chemistry to design and develop new gas-separation membranes.<\/p>\n Published today in Science Advances<\/em><\/a>, the discovery could revolutionise the way new materials are designed and created. Professor Brian Benicewicz<\/a> of the University of South Carolina said: “It removes the guesswork and the old trial-and-error work, which is very ineffective.<\/p>\n \u201cYou don’t have to make hundreds of different materials and test them. Now you’re letting the machine learn. It can narrow your search.”<\/p>\n Benicewicz and his collaborators at Columbia University wanted to see if big data<\/a> could design a more effective membrane.<\/p>\nCombining big data and machine learning<\/h3>\n