7 citations · 15 across the 7 of their papers we have counts for
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Data Reduction in Deterministic Neutron Transport Calculations Using Machine Learning
Ben Whewell, Ryan G. McClarren
Neutron cross section matrices for fission and scattering data are required for each material, temperature, and enrichment level to calculate the neutron transport equation accurat…
A high-order / low-order (HOLO) algorithm for preserving conservation in time-dependent low-rank transport calculations
Zhuogang Peng, Ryan G. McClarren
Dynamical low-rank (DLR) approximation methods have previously been developed for time-dependent radiation transport problems. One crucial drawback of DLR is that it does not conse…
A low-rank method for two-dimensional time-dependent radiation transport calculations
Zhuogang Peng, Ryan McClarren, Martin Frank
The low-rank approximation is a complexity reduction technique to approximate a tensor or a matrix with a reduced rank, which has been applied to the simulation of high dimensional…
A low-rank method for time-dependent transport calculations
Zhuogang Peng, Ryan G. McClarren, Martin Frank
Low-rank approximation is a technique to approximate a tensor or a matrix with a reduced rank to reduce the memory required and computational cost for simulation. Its broad applica…
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…
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…