Machine learning boosts the search for 'superhard' materials

Superhard materials are in high demand in industry, from energy production to aerospace, but finding suitable new materials has largely been a matter of trial and error based on classical materials such as diamonds. Until ...

Machine-learning technique could improve fusion energy outputs

Machine-learning techniques, best known for teaching self-driving cars to stop at red lights, may soon help researchers around the world improve their control over the most complicated reaction known to science: nuclear fusion.

Collective quantum effect: When electrons keep together

Many celestial objects such as stars or planets contain matter that is exposed to high temperatures and pressure—experts call it warm dense matter (WDM). Although this state of matter on earth only occurs in the earth's ...

New precision search for dark matter from ATLAS Experiment

The nature of dark matter remains one of the great unsolved puzzles of fundamental physics. Unexplained by the Standard Model, dark matter has led scientists to probe new physics models to understand its existence. Many such ...

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