15 citations · 15 across the 7 of their papers we have counts for
3 papers · 2 filters
Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators
Kishansingh Rajput, Malachi Schram, Auralee Edelen +6
Particle accelerator operation requires simultaneous optimization of multiple objectives. Multi-Objective Optimization (MOO) is particularly challenging due to trade-offs between t…
Efficient 6-dimensional phase space reconstruction from experimental measurements using generative machine learning
Ryan Roussel, Juan Pablo Gonzalez-Aguilera, Auralee Edelen +5
Next-generation accelerator concepts which hinge on the precise shaping of beam distributions, demand equally precise diagnostic methods capable of reconstructing beam distribution…
Multi-Objective Bayesian Active Learning for MeV-ultrafast electron diffraction
Fuhao Ji, Auralee Edelen, Ryan Roussel +13
Ultrafast electron diffraction using MeV energy beams(MeV-UED) has enabled unprecedented scientific opportunities in the study of ultrafast structural dynamics in a variety of gas,…