Research
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Neural Networks for Unfolding Neutron Energy Spectra
Acquiring accurate neutron energy spectrum information is of vital importance to national security as well as personal safety. Unfolding neutron energy spectra from detector responses is a heavily researched area due to the importance of neutron e...
Project · March 30, 2025
A compact introduction to a nonclassical neutral particle transport model
Publication · March 29, 2025
[P40] P1 synthetic acceleration and convergence analysis for the solution of one-speed nonclassical spectral SN equations in slab geometry
ABSTRACT: In classical transport theory, the distribution of free-path lengths of particles traveling through the media is exponential. However, in certain inhomogeneous media, the locations of scattering centers are spatially correlated, leading...
Publication · March 28, 2025
[P39] A “consistent” quasidiffusion method for iteratively solving particle transport problems
ABSTRACT: The “Quasidiffusion” (QD) method is a well-known iterative technique for efficiently solving particle transport problems. Each QD iteration consists of a high-order SN sweep, followed by a low-order “Quasidiffusion” calculation. QD has ...
Publication · March 28, 2025
[P38] A linear programming-based methodology to determine the minimal neutron source distribution in subcritical systems
ABSTRACT: In this work, we present a linear programming-based methodology to determine the minimum intensity that a neutron source distribution must have to drive a subcritical system to a prescribed power distribution. The neutron source distrib...
Publication · March 28, 2025
[P37] Derivation of a multigroup diffusion equation for nonclassical problems
ABSTRACT: We have derived an asymptotic approximation to the nonclassical energy-dependent transport equation with isotropic scattering. This approximation reduces to the classical multigroup diffusion equation under the assumption of classical t...
Publication · March 28, 2025
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