2 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
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…