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08/16/2023
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks
The accurate calculation and uncertainty quantification of the character...
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03/15/2023
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression
Unforeseen particle accelerator interruptions, also known as interlocks,...
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10/07/2022
Lasso Monte Carlo, a Novel Method for High Dimensional Uncertainty Quantification
Uncertainty quantification (UQ) is an active area of research, and an es...
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09/21/2022
Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators
Particle accelerators are complex facilities that produce large amounts ...
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05/23/2022
ALPINE: A set of performance portable plasma physics particle-in-cell mini-apps for exascale computing
Alpine consists of a set of mini-apps that makes use of exascale computi...
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03/15/2022
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
The computational cost for high energy physics detector simulation in fu...
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02/01/2021
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators
The beam interruptions (interlocks) of particle accelerators, despite be...
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08/21/2020