A new AI model generates realistic synthetic microscope images of atoms, providing scientists with reliable training data to accelerate materials research and atomic scale analysis.

The intermediate range order of covalent glasses has been extensively studied in terms of the first sharp diffraction peak (FSDP), but the direct observation of the atomic density fluctuations that ...

Initial images were messy because the faint signals from tin and silicon were overwhelmed by strong germanium signals. To fix ...

A new measurement of the strong nuclear force, which binds protons and neutrons together, confirms previous hints of an uncomfortable truth: We still don’t have a solid theoretical grasp of even the ...

The microchips that power our phones, computers, and countless other devices look perfectly uniform on the outside, but on ...

The global market for 2D materials — already estimated at several billion dollars annually — is growing at a 4 percent rate. This is explained by the importance of these newly synthesized materials, ...

While many Earth-based experiments have been run to try to detect dark matter, the mysterious substance remains elusive. Now physicists have proposed a new experiment that would try to find signals by ...

SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--Atomic AI, a biotechnology company fusing cutting-edge machine learning with state-of-the-art structural biology to unlock RNA drug discovery, announced ...