Combined data approach could accelerate development of new materials
(PHYSorg.com Chemistry)

Researchers in Japan have developed an approach that can better predict the properties of materials by combining high throughput experimental and calculation data together with machine learning. The approach could help hasten the development of new materials, and was published in the journal Science and Technology of Advanced Materials.