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.

Finding a needle in a haystack is the quintessentially impossible task. But what if new tools could make it straightforwardly achievable? Imagine if, instead of searching through everything by hand, ...