Researchers use machine learning technique to rapidly evaluate new transition metal compounds
(PHYSorg.com Chemistry)

In recent years, machine learning has been proving a valuable tool for identifying new materials with properties optimized for specific applications. Working with large, well-defined data sets, computers learn to perform an analytical task to generate a correct answer and then use the same technique on an unknown data set.