Algorithm finds the 569 molecules that might drive a waste-free economy

An image showing an artificial Intelligence neural network

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Strategic compounds within a huge chemical network pinpointed by machine learning 

Having trawled more than half a million compounds, an algorithm has identified the 569 molecules that could drive a circular economy, where chemical waste becomes feedstock for new materials. Called strategic molecules, they are key players in pathways that lead from biowaste – such as terpene mixtures produced by the paper industry – to valuable compounds such as drugs.