20 citations · 57 across the 11 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
physics.acc-ph2022★ 3 cited
Next Generation Computational Tools for the Modeling and Design of Particle Accelerators at Exascale
Axel Huebl, Remi Lehe, Chad E. Mitchell +4
Particle accelerators are among the largest, most complex devices. To meet the challenges of increasing energy, intensity, accuracy, compactness, complexity and efficiency, increas…
physics.acc-ph2022★ 3 cited
Using Kernel-Based Statistical Distance to Study the Dynamics of Charged Particle Beams in Particle-Based Simulation Codes
Chad E. Mitchell, Robert D. Ryne, Kilean Hwang
Measures of discrepancy between probability distributions (statistical distance) are widely used in the fields of artificial intelligence and machine learning. We describe how cert…