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 neurodegenerative diseases at their root.

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

By leveraging the concept of chirality, or the difference of a shape from its mirror image, scientists have engineered an ...

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

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

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

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

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 emulsions for material synthesis.