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.

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 ...

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

This article addresses important questions about the complex construct of underlying performance information use: public service performance. A between-subjects experimental vignette methodology was ...

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 ...

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

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 ...

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 ...