AI is searching particle colliders for the unexpected ...

Data science was born centuries ago when vast amounts of astronomical data first became available. To draw actionable conclusions from the information, new approaches for analyzing data had to be ...

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised ...

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...

It seems like everyone wants a piece of Lu Lu’s research. Biologists. Physicians. Astronomers. Climatologists. Physicists. Chemists. Materials scientists. The federal government. Even the occasional ...

Researchers have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques. The study offered an ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

The use of better-quality data can improve the business case for a number of solar projects. Image: Photon Group. The integrity of a PV project largely depends on the quality of the solar, ...