Machine Learning Helps Scientists Uncover New Materials With Desirable Properties

Researchers from Los Alamos National Laboratory have successfully used a machine-learning algorithm to discover new materials with specific desirable properties. By Tyler MacDonald | May 10, 2016 10:01 AM EDT Researchers from Los Alamos National Laboratory have successfully used a machine-learning algorithm to discover new materials with specific desirable properties. (Photo : Getty Images) Scientists from the Los Alamos National Laboratory have devised a way of using machine learning in order to discover new materials with specific properties using an informatics-based adaptive strategy in combination with experiments. The new approach will help scientists find new materials in a manner that is more cost-effective and less time consuming than current procedures. “What we’ve done is show that, starting with a relatively small data set of well-controlled experiments, it is possible to…


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