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

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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.

Editor’s note: This is part of a series called “The Day Tomorrow Began,” which explores the history of breakthroughs at UChicago. Learn more here. A field experiment is a research method that uses ...

No one can question the impact of science on human civilization, and the importance of experimentation in science is equally undeniable. Some experiments confirm what we already know, others suggest a ...