AI/ML for Nuclear Physics HUGS 2025

AI/ML for Nuclear Physics HUGS 2025#

The HUGS 2025 - Artificial Intelligence for Nuclear Physics

(May 27 - Jue 13, 2025)

This is the landing page of the AI lectures of HUGS 2025

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Synopsis: The HUGS2025 lectures on Artificial Intelligence for Nuclear Physics are a focused 6-hour program designed to introduce physics graduate students to the fundamentals of artificial intelligence and machine learning (AI/ML), and their applications in nuclear physics (NP); many examples are taken from the Electron Ion Collider (EIC) project and Jefferson Lab (JLab) experiments.

The course aims to equip students with a basic understanding of AI/ML basics, and how these techniques can be utilized to interpret and analyze NP data.

The students will gain a practical understanding of AI/ML concepts through hands-on exercises using simulated NP data. The lectures serve as a launchpad for those aspiring to integrate AI/ML techniques into their NP research while also offering valuable insights into some of the latest AI/ML initiatives ongoing at both the JLab and EIC.

This course is based on the following references [ABLN22, BDS+22, Fan21, FN21, K+21, MBW+19]

📚 2025 Lectures#

⚠️ Note: Course material will appear below.

Additional resources

📚 Past Editions#

Credits: Material on git, VS-Code, and HPC from AID2E