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 ...

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

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

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 ...

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