Artificial Intelligence Projects

Scientists collect terabytes of X-ray data but spend extensive time analyzing it manually. AI-NERD learns to recognize material behavior patterns automatically, accelerating the analysis process.

Scientists use artificial intelligence to see magnetization in materials from a single image. This breakthrough makes studying magnetism faster and more accurate than ever before.

Scientists are developing AI models to deliver accurate and real-time predictions of how much energy vehicles will use. This helps simulate how vehicles perform and supports transportation system planning.

Scientists use artificial intelligence to identify unknown molecules by analyzing patterns in light they emit. This breakthrough could revolutionize how we discover new drugs and materials.

Argonne leverages artificial intelligence to revolutionize nuclear plant operations with PRO-AID technology.

The Context-Aware Language Model for Science (CALMS) uses AI to answer technical questions, guide instrument operations and even control experiments conversationally, making advanced facilities accessible to more researchers.

High-resolution scanning microscopes generate enormous datasets, but most information concentrates in sparse regions containing defects or interfaces. FAST uses AI to identify and measure only these critical areas, achieving more accurate imaging.

Argonne researchers develop machine learning to explore how quarks and gluons behave inside the proton. These calculations aid searches for possible new physics beyond the Standard Model.

Ptychography creates nanoscale images of macroscopic objects but generates data faster than many methods can process it. This AI workflow processes data at the edge in real-time at speeds up to 2,000 frames per second while using less radiation.

Historically, scientist waited hours to align X-ray mirrors before each experiment. AutoFocus, a new AI system, does it in ten minutes, enabling researchers spend more time on discoveries.