activity
20152026
most citedA low-rank method for two-dimensional time-dependent radiation transport calculations

63 citations · 357 across the 53 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

math.NA2023

A Hybrid Monte Carlo, Discontinuous Galerkin method for linear kinetic transport equations

Johannes Krotz, Cory D. Hauck, Ryan G. McClarren

We present a hybrid method for time-dependent particle transport problems that combines Monte Carlo (MC) estimation with deterministic solutions based on discrete ordinates. For sp…

cs.CE2023

Uncertainty benchmarks for time-dependent transport problems

William Bennett, Ryan G. McClarren

Verification solutions for uncertainty quantification are presented for time dependent transport problems where , the scattering ratio, is uncertain. The method of polynomial ch…

physics.comp-ph2023

Reducing Spatial Discretization Error with Linear Discontinuous Source Tilting in Iterative Quasi-Monte Carlo for Neutron Transport

Samuel Pasmann, Ilham Variansyah, C. T. Kelley +1

Recently, iterative Quasi-Monte Carlo (iQMC) was introduced as a new method of neutron transport which combines deterministic iterative methods and quasi-Monte Carlo simulation for…

physics.comp-ph2023★ 2 cited

iQMC: Iterative Quasi-Monte Carlo for k-Eigenvalue Neutron Transport Simulations

Samuel Pasmann, Ilham Variansyah, C. T. Kelley +1

The Iterative Quasi-Monte Carlo method, or iQMC, replaces standard quadrature techniques used in deterministic linear solvers with Quasi-Monte Carlo simulation for more accurate an…

math.NA2023

A Collision-Based Hybrid Method for the BGK Equation

Minwoo Shin, Cory D. Hauck, Ryan G. McClarren

We apply the collision-based hybrid introduced in \cite{hauck} to the Boltzmann equation with the BGK operator and a hyperbolic scaling. An implicit treatment of the source term is…

physics.comp-ph2023★ 1 cited

An effective initial particle sampling technique for Monte Carlo reactor transient simulations

Ilham Variansyah, Ryan G. McClarren

We propose a technique to effectively sample initial neutron and delayed neutron precursor particles for Monte Carlo (MC) simulations of typical off-critical reactor transients. Th…

physics.comp-ph2023★ 1 cited

High-fidelity treatment for object movement in time-dependent Monte Carlo transport simulations

Ilham Variansyah, Ryan G. McClarren

We investigate the use of time-dependent surfaces in Monte Carlo transport simulation to accurately model prescribed, continuous object movements. The performance of the continuous…

physics.comp-ph2023★ 2 cited

Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code

Ilham Variansyah, J. P. Morgan, Jordan Northrop +2

We discuss the current development of MC/DC (Monte Carlo Dynamic Code). MC/DC is primarily designed to serve as an exploratory Python-based MC transport code. However, it seeks to…

cs.CE2023

Benchmark solutions for radiative transfer with a moving mesh and exact uncollided source treatments

William Bennett, Ryan G. McClarren

The set of benchmark solutions used in the thermal radiative transfer community suffer some coverage gaps, in particular nonlinear, non-equilibrium problems. Also, there are no non…