2 citations · 3 across the 4 of their papers we have counts for
4 papers
Uncertainty Quantification on Spent Nuclear Fuel with LMC
Arnau Albà, Andreas Adelmann, Dimitri Rochman
The recently developed method Lasso Monte Carlo (LMC) for uncertainty quantification is applied to the characterisation of spent nuclear fuel. The propagation of nuclear data uncer…
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks
Arnau Albà, Andreas Adelmann, Lucas Münster +2
The accurate calculation and uncertainty quantification of the characteristics of spent nuclear fuel (SNF) play a crucial role in ensuring the safety, efficiency, and sustainabilit…
Lasso Monte Carlo, a Variation on Multi Fidelity Methods for High Dimensional Uncertainty Quantification
Arnau Albà, Romana Boiger, Dimitri Rochman +1
Uncertainty quantification (UQ) is an active area of research, and an essential technique used in all fields of science and engineering. The most common methods for UQ are Monte Ca…
Benchmarking Collective Effects of Electron Interactions in a Wiggler with OPAL-FEL
Arnau Albà, Jimin Seok, Andreas Adelmann +9
OPAL-FEL is a recently developed tool for the modeling of particle accelerators containing wigglers or undulators. It extends the well established 3D electrostatic particle-trackin…