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

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

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

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 ...

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

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 ...

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

Researchers introduce a process that allows machines to 'grow' physically by integrating parts from their surroundings or from other robots, demonstrating a step towards self-sustaining robot ...