From radiation therapy to the high energy universe: Generative AI for particle tracking

Artificial intelligence is rapidly expanding across all fields of science, particularly in physics. The 2024 Nobel Prize in Physics was awarded for groundbreaking advancements in artificial intelligence that have led to significant discoveries in various physics applications. This project uses a specific type of AI, generative AI, to achieve breakthroughs in diverse particle physics research applications.

Analyzing and understanding the results of high-energy particle interactions using traditional methods requires immense computing resources. Even a single particle collision can involve billions of calculations. This research will enable substantial shortcuts in calculating the outcomes of particle interactions for fundamental physics and astrophysics.

The collaborative research between physicists and computer scientists will significantly improve data use, enabling discoveries that would otherwise be impossible. Medical physics applications, such as radiation therapy, are also envisioned.

PRINCIPAL INVESTIGATOR

Albrecht Karle, professor of physics

CO-PRINCIPAL INVESTIGATORS

Yong Jae, associate professor of computer science

Lu Lu, assistant professor of physics

CO-INVESTIGATOR

Benedikt Riedel, computing manager for WIPAC