most citedApplying Machine Learning Methods to Laser Acceleration of Protons: Lessons Learned from Synthetic Data

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing physics.acc-phShow all

1 paper · 1 filter

physics.acc-ph2026

Particle tracking with physics-informed deep learning methods

Matthias Remta, Anja Beck, Shanthalakshmi Kilambi +2

Simulating the motion of charged particles in electromagnetic fields is essential for designing and optimising particle accelerators. Conventional tools rely on symplectic integrat…