Japanese researchers have developed an approach to accelerating the development of new materials by combining high throughput experimental and calculation data with machine learning to predict materials’ properties. Scientists use high throughput experimentation, involving large numbers of parallel experiments, to quickly map the relationships between the compositions, structures, and properties of materials made from varying ...

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