activity
20222026
most citedAnalysis of Population Control Techniques for Time-Dependent and Eigenvalue Monte Carlo Neutron Transport Calculations

16 citations · 25 across the 18 of their papers we have counts for

collaborators
Showing 2026Show all

1 paper · 1 filter

physics.comp-ph2026

Compressed Sensing Methods for Memory Reduction in Monte Carlo Simulations

Ethan Lame, Camille Palmer, Todd Palmer +1

Monte Carlo simulations of neutronic systems are computationally intensive and demand significant memory resources for high-fidelity modeling. Compressed sensing enables accurate r…