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 ...

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

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

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 ...

The MIT team tested the new tool, which they call a “versatile demonstration interface,” on a standard collaborative robotic ...