A lot of the science from our accelerators is published long after collisions end, so storing experimental data for future physicists is crucial.

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.

Join us on Mr Sagoo for creative handmade crafts, toys, and practical life hacks you can easily make at home! Discover fun DIY projects to enhance your everyday living with your unique touch. We're ...

The research projects, announced as President Donald Trump linked autism to childhood vaccines and popular pain medication ...

Tanzania Sewell from Club SciKidz Greater Milwaukee shows us two at-home science experiments using household items ...

Cold atom experiments trap atoms to probe quantum effects, enabling ultra-precise sensing, timekeeping, and monitoring of ...

A swarm of spherical rovers, blown by the wind like tumbleweeds, could enable large-scale and low-cost exploration of the ...

ITER (International Thermonuclear Experimental Reactor) is the world's first international thermonuclear experimental reactor, being built by an international community in Provence near Marseille, Fra ...

Assistant professors Jiahui Chen and Chen Liu are pursuing separate projects: Chen looking at approaches to protein interaction, and Liu is focusing on understanding the flow of fluids.

Fueled by federal funding, JHU researchers and scientists seek investors to back their ideas to bring discoveries to the ...

Today, we stand on sacred ground, not only for its pristine, radio-quiet skies, but for its role in uniting nations to ...

The Net-Zero Banking Alliance, intended to curb lending to carbon-intensive sectors, wasn’t effective and more importantly ...