63 citations · 357 across the 53 of their papers we have counts for
5 papers · 1 filter
Transfer learning to model inertial confinement fusion experiments
K. D. Humbird, J. L. Peterson, R. G. McClarren
Inertial confinement fusion (ICF) experiments are designed using computer simulations that are approximations of reality, and therefore must be calibrated to accurately predict exp…
Acceleration of Source Iteration using the Dynamic Mode Decomposition
Ryan G. McClarren, Terry S. Haut
We present a novel acceleration technique for improving the convergence of source iteration for discrete ordinates transport calculations. Our approach uses the idea of the dynamic…
Predicting the time-evolution of multi-physics systems with sequence-to-sequence models
K. D. Humbird, J. L. Peterson, R. G. McClarren
In this work, sequence-to-sequence (seq2seq) models, originally developed for language translation, are used to predict the temporal evolution of complex, multi-physics computer si…
Filtered Stochastic Galerkin Methods For Hyperbolic Equations
Jonas Kusch, Ryan G. McClarren, Martin Frank
Uncertainty Quantification for nonlinear hyperbolic problems becomes a challenging task in the vicinity of shocks. Standard intrusive methods lead to oscillatory solutions and can…
Calculating Time Eigenvalues of the Neutron Transport Equation with Dynamic Mode Decomposition
Ryan G. McClarren
A novel method to compute time eigenvalues of neutron transport problems is presented based on solutions to the time dependent transport equation. Using these solutions we use the…