Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...

Research from MIT Sloan School of Management has demonstrated a new way of designing social science experiments that can ...