With a novel approach to X-ray spectroscopy, researchers are now able to capture detailed, ultrafast snapshots of electron ...

By targeting oxidative stress and boosting energy production, flower-shaped nanoparticles show promise for treating ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

Researchers developed a textile that uses motion energy and phase change materials to power electronics while adapting to ...

Researchers develop a PtCo/MXene catalyst that cuts platinum use and boosts hydrogen production efficiency with strong ...

A new liquid crystal system rapidly switches between clear and opaque states, enabling fast smart windows and controllable ...

This discovery provides insight into quantum behaviors that could be used for next-generation quantum sensing and computing ...

In conventional scanning tunnelling microscopy, so-called electronic states on the sample surface are used for the ...

An international research team has witnessed the earliest moments to date of planets beginning to form around a star beyond ...

Researchers show how blister shapes in atomically thin materials like graphene can be used to map pressure, membrane tension, ...

Researchers have discovered a light-based method to reveal faint magnetic signals in metals like copper and gold, opening new ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...