63 citations · 357 across the 53 of their papers we have counts for
11 papers · 1 filter
A Quasi-Monte Carlo Method with Krylov Linear Solvers for Multigroup Neutron Transport Simulations
Sam Pasmann, Ilham Variansyah, C. T. Kelley +1
In this work we investigate replacing standard quadrature techniques used in deterministic linear solvers with a fixed-seed Quasi-Monte Carlo calculation to obtain more accurate an…
Variable Dynamic Mode Decomposition for Estimating Time Eigenvalues in Nuclear Systems
Ethan Smith, Ilham Variansyah, Ryan McClarren
We present a new approach to calculating time eigenvalues of the neutron transport operator (also known as eigenvalues) by extending the dynamic mode decomposition (DMD) to all…
Multigroup Neutron Transport using a Collision-Based Hybrid Method
Ben Whewell, Ryan G. McClarren, Cory D. Hauck +1
A collision-based hybrid algorithm for the discrete ordinates approximation of the neutron transport equation is extended to the multigroup setting. The algorithm uses discrete ene…
A sweep-based low-rank method for the discrete ordinate transport equation
Zhuogang Peng, Ryan G. McClarren
The dynamical low-rank (DLR) approximation is an efficient technique to approximate the solution to matrix differential equations. Recently, the DLR method was applied to radiation…
Benchmarks for infinite medium, time dependent transport problems with isotropic scattering
William Bennett, Ryan G. McClarren
The widely used AZURV1 transport benchmarks package provides a suite of solutions to isotropic scattering transport problems with a variety of initial conditions (Ganapol 2001). Mo…
Accurate solutions to time dependent transport problems with a moving mesh and exact uncollided source treatment
William Bennett, Ryan G. McClarren
For the purpose of finding benchmark quality solutions to time dependent Sn transport problems, we develop a numerical method in a Discontinuous Galerkin (DG) framework that utiliz…
Transfer Learning as a Method to Reproduce High-Fidelity NLTE Opacities in Simulations
Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
Simulations of high-energy density physics often need non-local thermodynamic equilibrium (NLTE) opacity data. This data, however, is expensive to produce at relatively low-fidelit…
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…
Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models
Michael D. Vander Wal, Ryan G. McClarren, Kelli D. Humbird
Simulations of high energy density physics are expensive, largely in part for the need to produce non-local thermodynamic equilibrium opacities. High-fidelity spectra may reveal ne…
Analysis of Population Control Techniques for Time-Dependent and Eigenvalue Monte Carlo Neutron Transport Calculations
Ilham Variansyah, Ryan G. McClarren
An extensive study of population control techniques (PCTs) for time-dependent and eigenvalue Monte Carlo (MC) neutron transport calculations is presented. We define PCT as a techni…
A low-rank power iteration scheme for neutron transport criticality problems
Jonas Kusch, Benjamin Whewell, Ryan McClarren +1
Computing effective eigenvalues for neutron transport often requires a fine numerical resolution. The main challenge of such computations is the high memory effort of classical sol…