A KDMC-based particle-level distribution decomposition for neutral transport with a Chapman-Enskog-derived fluid system, achieving ~500x speedup and ~10% L2 error versus full kinetic MC in 1D CX-dominant tests.
Efficient asymptotic-preserving schemes for some multiscale kinetic equations
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
PINN study of BGK shocks identifies anisotropic tail-weighted observability failure in fourth-order closure R_xx^cl and shows a shock-local correction reduces its relative error to 0.112 using DVM validation.
citing papers explorer
-
A kinetic-diffusion Monte Carlo-based particle-level fluid-kinetic decomposition for neutral transport simulations
A KDMC-based particle-level distribution decomposition for neutral transport with a Chapman-Enskog-derived fluid system, achieving ~500x speedup and ~10% L2 error versus full kinetic MC in 1D CX-dominant tests.