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.

Research from MIT Sloan School of Management has demonstrated a new way of designing social science experiments that can uncover patterns invisible to common approaches. In their paper titled ...