Symplectic machine learning model for fast simulation of space-charge effects
Symplectic simulation of space-charge effects is crucial for the design and operation of high-intensity particle accelerators. Traditional methods for simulating these effects are often computationally expensive, resulting in significant overhead. In this work, we introduce a generative model based...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2025-07-01
|
| Series: | Physical Review Accelerators and Beams |
| Online Access: | http://doi.org/10.1103/bhpv-bcqk |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|