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.
Click here for original story, Researchers use machine learning technique to rapidly evaluate new transition metal compounds
Source: Phys.org