16 citations · 25 across the 18 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
Exploring One-Cell Inversion Method for Transient Transport on GPU
J. P. Morgan, Ilham Variansyah, Todd S. Palmer +1
To find deterministic solutions to the transient neutron transport equation, iterative schemes are typically used to treat the scattering (and fission) source terms. We explo…