Qi Tang
(Georgia Institute of Technology)
13/08/2025, 14:00
MC5 – Beam Dynamics and EM Fields
Invited Oral Presentation
Development of robust machine-learning (ML) based surrogates for particle accelerators can significantly benefit the modeling, design, optimization, monitoring and control of these systems. It is advantageous for surrogate models to incorporate fundamental physical constraints governing beam interactions and dynamics, which are essential to the operation of an accelerator.
We investigate...
