A machine learning technique rapidly rediscovered rules governing catalysts that took humans years of difficult calculations to reveal–and even explained a deviation. The University of Michigan team that developed the technique believes other researchers will be able to use it to make faster progress in designing materials for a variety of purposes. “This opens a Read more about Machine learning techniques to develop recipes for the material properties[…]