Machine learning was used by researchers at the University of Michigan to foretell how the contents of metal alloys and metal oxides influence their electrical properties.   Researchers at the University of Michigan used machine learning to forecast how the compositions of metal alloys and metal oxides affect their electrical structures, paving the door for cleaner … Continue reading Machine learning links material composition and performance in catalysts | Phys.org