Artificial Intelligence for the Electron Ion Collider (AI4EIC) 2025

Session

AI/ML for Accelerators

27 Oct 2025, 10:00

26. Explainable and Differential Reinforcement Learning for Multi Objective Optimization in Particle Accelerators

Kishansingh Rajput (Jefferson Lab)

27/10/2025, 10:00

27. Differentiable beam dynamics codes, their use in AI-ML for accelerators and potential applications to the EIC

Chenran Xu (Argonne National Laboratory)

27/10/2025, 10:25

28. Symplectic machine learning model for fast simulation of space-charge effects

Jinyu Wan (Facility for Rare Isotopes, Michigan State University)

27/10/2025, 10:50

29. Use of AI/ML for higher brightness and higher polarization of hadron beams

Eiad Hamwi (Cornell University)

27/10/2025, 11:30

We report on the use of AI/ML techniques to advance the pursuit of higher brightness and polarization of hadron beams in the RHIC/EIC injector chain. Bayesian inference applied to individual magnet strengths reduced quadrupole field uncertainty by a factor of two while shifting mean values away from prior expectations, thereby improving the reliability of accelerator models. Bayesian...

30. Framework for the Development of Virtual Accelerator Models for Machine Learning Applications

Adwaith Ravichandran (Argonne National Laboratory)

27/10/2025, 11:55

31. Machine-Learning–Accelerated Bayesian Uncertainty Quantification for Digital Twin Modeling and Control of the AGS Booster

Christopher Kelly (Brookhaven National Laboratory)

27/10/2025, 12:15

32. Machine Learning Approaches to Improved Ion Profile Monitor Measurements

Christopher Hall (RadiaSoft LLC)

27/10/2025, 12:35

33. Use of Generative AI and LLMs for Accelerator Design

Onur Gilanliogullari (member@anl.gov)

27/10/2025, 12:55