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Auralee Edelen

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Articles

[2504.03793] Outlook Towards Deployable Continual Learning for Particle Accelerators

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By Sen Lin, Auralee Edelen, Willem Blokland, Malachi Schram
| arxiv.org
[Submitted on 4 Apr 2025] Title:Outlook Towards Deployable Continual Learning for Particle Accelerators View a PDF of the paper titled Outlook Towards Deployable Continual Learning for Particle Accelerators, by Kishansingh Rajput and Sen Lin and Auralee Edelen and Willem Blokland and Malachi Schram View PDF HTML (experimental) Abstract:Particle Accelerators are high power complex machines.
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[2411.04817] Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators

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By Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian
| arxiv.org
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Multi-objective Bayesian active learning for MeV-ultrafast electron diffraction - Nature Communications

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By Fuhao Ji, Auralee Edelen, Xiaozhe Shen, Mianzhen Mo, Christopher Mayes, Emilio Nanni, Xijie Wang, Alexander H. Reid, Michael P. Minitti, Sara Miskovich
| Nature Verified
Abstract 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, liquid and solid state systems. Broad scientific applications usually pose different requirements for electron probe properties.
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