Inside the microchips powering your devices, atoms aren’t just randomly scattered. They follow a hidden order that can change ...
The study, led by Xiaochen Jin, used machine learning to determine that the atomic structure of Group 4 alloys, which ...
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.
Atomic Canyon and INL have developed an open-source AI benchmark suite for nuclear applications to ensure safety, compliance, and reliability.
Researchers at the University of California, Irvine, together with international collaborators, have developed a new electron ...
Researchers with the Department of Energy's Oak Ridge National Laboratory and the University of Tennessee, Knoxville, have ...
UC Irvine-led team develops new electron microscopy technique that can detect directional dependence of vibrations in solids. Anisotropic phonon propagation governs material properties such as heat ...