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.

Physicists got their first look at the structure of the atomic nucleus. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. The Geiger-Marsden ...

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

Breaking the rules is exciting, especially if they have held for a long time. This is true not just in life but also in particle physics. Here the rule I'm thinking of is called “lepton flavor ...

BALTIMORE (WJZ) — There's pizza pie, apple pie, and then there's Pi. The mathematical symbol that represents the ratio of a circle's circumference to its diameter. "Pi is an irrational number. Which ...

The Steadybit MCP Server enables organizations to use AI to reveal reliability gaps and surface new insights on experiment results Steadybit GmbH, the leader in chaos engineering and reliability ...