Artificial Intelligence (AI) acts as a catalyst for accelerating scientific research and discovery. Researchers in the Accelerator Technology & Applied Physics (ATAP) Division at Berkeley Lab are harnessing the transformative potential of AI and machine learning (ML)—a subset of AI that employs mathematical data models to enable computers to learn without direct instruction—as tools for accelerator design and to improve control systems, enhancing the performance of current accelerators and driving advancements in future accelerator technologies.

This work includes AI/ML-enhanced modeling of the intricate and ultrafast processes that accelerate particle beams to higher energies and intensities; employing AI/ML techniques to improve the performance of existing accelerators and design future ones, including the Advanced Light Source (ALS) Upgrade, while optimizing their performance; integrating AI/ML into the operation, optimization, and diagnostics of next-generation laser-plasma accelerators and their applications; and utilizing AI/ML-based analysis to detect early signs of sudden and unpredictable losses—a phenomenon referred to as quenching—in high-temperature superconducting magnets.

Check out this video to learn more about how ATAP and Berkeley Lab are using the groundbreaking potential of AI/ML for discovery science.

For more information on ATAP News articles, contact caw@lbl.gov.