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.

Two papers challenged the existence of theorized particles called sterile neutrinos that might account for mysteries like the cosmos’s dark matter.

Experimental particle physicists working at the MicroBooNE experiment at Fermilab National Accelerator Laboratory have found evidence ...