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

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

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

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

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

A new study describes a process by which cell-like structures - known as vesicles - can form on Titan. Such structures are ...

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

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

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

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

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

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