Machine learning is supposed to help us do everything these days, so why not electron microscopy? A team from Ireland has done just that and published their results using machine learning to enhance ...

The Korea Research Institute of Standards and Science (KRISS) has developed an artificial intelligence (AI)-based image ...

Researchers in Korea have developed an artificial intelligence (AI) technology that predicts molecular properties by learning electron-level information without requiring costly quantum mechanical ...

Beams of accelerated electrons power electron microscopes, X-ray lasers, medical accelerators and other devices. To optimize the performance of these applications, operators must be able to analyze ...

However, the electron beam that creates the microscopic images can actually cause the sample to melt, distorting the subject it is trying to capture. Uri Manor, director of the Waitt Advanced ...

Linear accelerator operators use computer algorithms to automate some parts of the machine tuning process. These algorithms make fast decisions, but they have not yet incorporated fundamental physics ...

Ynvisible displays add new functionality to Circuit Scribe Science Technology Engineering and Math (STEM) learning kits. The new product within the Circuit Scribe product line will be on sale for ...

Phase separation plays a central role in the emergence of unusual functionalities of correlated electron materials. The structure of the mixed-phase states depends strongly on the nonequilibrium phase ...

New research reveals how tiny electrical gates in the brain, known as NMDA receptors, control learning, memory, and neuron ...