For a long time, finding new materials felt a bit like being a lone artisan. You’d spend ages tinkering, trying things out ...

research laboratory to study “bad bubbles” that cause defects in metal alloys used to produce engine turbine blades and semiconductor crystals that are crucial components in electronic devices.

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.

This research area merges theory, computation, and data science with the experimental sciences, which has been the basis of substance and material development undertaken so far, with the aim of ...