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The inverse problems of particle neutral transport models have many important engineering and medical applications. Safety protocols, quality control procedures, and optical medical solutions can be developed based on inverse transport…

Numerical Analysis · Mathematics 2023-10-24 Nelson Garcia Roman , Pedro Costa dos Santos , Pedro Henrique de Almeida Konzen

The method of characteristics (MOC) is widely used for neutron transport calculation in recent decades. However, the key problem determining whether MOC can be applied in highly heterogeneous geometry is how to combine an effective geometry…

Nuclear Theory · Physics 2015-06-16 Zhen-Ping Chen , Hua-Qing Zhen , Guang-Yao Sun , Jing Song , Li-Juan Hao , Li-Qin Hu , Yi-Can Wu

As more and more numerical and analytical solutions to the linear neutron transport equation become available, verification of numerical results is increasingly important. This presentation concerns the development of another benchmark for…

Computational Physics · Physics 2024-06-21 Barry Ganapol

We consider the numerical solution of the optimal transport problem between densities that are supported on sets of unequal dimension. Recent work by McCann and Pass reformulates this problem into a non-local Monge-Amp\`ere type equation.…

Numerical Analysis · Mathematics 2023-07-14 Matthew A. Cassini , Brittany Froese Hamfeldt

The problem of monoenergetic neutral particle transport in a duct, where particles travel inside the duct walls, is treated using an approximate one-dimensional model. The one-dimensional model uses three-basis functions, as part of a…

Computational Physics · Physics 2019-02-11 Arnulfo Gonzalez , Ryan G. McClarren

Optimal Mass Transport (OMT) is a well studied problem with a variety of applications in a diverse set of fields ranging from Physics to Computer Vision and in particular Statistics and Data Science. Since the original formulation of Monge…

Machine Learning · Computer Science 2021-10-26 Amanpreet Singh , Martin Bauer , Sarang Joshi

Discontinuous Finite Element Methods (DFEM) have been widely used for solving $S_n$ radiation transport problems in participative and non-participative media. In the DFEM $S_n$ methodology, the transport equation is discretized into a set…

Computational Physics · Physics 2019-06-11 Mauricio Tano , Jean Ragusa

This paper provides an initial description of the Method of Simultaneous Solutions, a Monte Carlo approach that simultaneously solves multiple Boltzmann-transport-like phenomena. Here, it is used to simultaneously solve the neutron…

Computational Physics · Physics 2026-05-26 Dean Price , Brian Kiedrowski , Benoit Forget

A pore network modeling (PNM) framework for the simulation of transport of charged species, such as ions, in porous media is presented. It includes the Nernst-Planck (NP) equations for each charged species in the electrolytic solution in…

Computational Physics · Physics 2020-05-20 Mehrez Agnaou , Mohammad Amin Sadeghi , Thomas George Tranter , Jeff Gostick

In a previous article we have shown how one can employ Artificial Neural Networks (ANNs) in order to solve non-homogeneous ordinary and partial differential equations. In the present work we consider the solution of eigenvalue problems for…

Quantum Physics · Physics 2009-10-30 I. E. Lagaris , A. Likas , D. I. Fotiadis

The problem of optimal mass transport arises in numerous applications including image registration, mesh generation, reflector design, and astrophysics. One approach to solving this problem is via the Monge-Amp\`ere equation. While recent…

Numerical Analysis · Mathematics 2012-03-02 Brittany D. Froese

In this work we investigate the use of the Analytical Discrete Ordinates (ADO) method when solving the spectral approximation of the nonclassical transport equation. The spectral approximation is a recently developed method based on the…

Computational Physics · Physics 2022-03-02 Leonardo R. C. Moraes , Liliane B. Barichello , Ricardo C. Barros , Richard Vasques

In this paper a methodology is described to estimate multigroup neutron source distributions which must be added into a subcritical system to drive it to a steady state prescribed power distribution. This work has been motivated by the…

Nuclear Theory · Physics 2021-06-26 Leonardo , R. C. Moraes , Hermes Alves Filho , Ricardo C. Barros

In this study, the Method of Characteristics (MOC) for Delayed Neutron Precursors (DNPs) is used to solve the precursors balance equation with turbulent diffusion. The diffusivity of DNPs, significantly higher than molecular diffusivity,…

Computational Physics · Physics 2024-11-07 Mathis Caprais , André Bergeron

We propose Mirror Descent Optimal Transport (MDOT), a novel method for solving discrete optimal transport (OT) problems with high precision, by unifying temperature annealing in entropic-regularized OT (EOT) with mirror descent techniques.…

Machine Learning · Computer Science 2025-06-04 Mete Kemertas , Allan D. Jepson , Amir-massoud Farahmand

A propagator-based approach is investigated for Monte-Carlo (MC) modeling of neutral particles transport in fusion boundary plasmas. The propagator is essentially a Green function for the neutral kinetic equation, which depends on the…

Plasma Physics · Physics 2026-02-03 M. V. Umansky , G. J. Parker , R. D. Smirnov

A numerical method for the solution of the elliptic Monge-Ampere Partial Differential Equation, with boundary conditions corresponding to the Optimal Transportation (OT) problem is presented. A local representation of the OT boundary…

Numerical Analysis · Mathematics 2012-08-27 Jean-David Benamou , Brittany D. Froese , Adam M. Oberman

$\underline{\textbf{MO}}$nte-carlo $\underline{\textbf{N}}$ucleon transport $\underline{\textbf{C}}$ode (MONC) for nucleon transport is being developed for several years. Constructive Solid Geometry concept is applied with the help of solid…

Nuclear Theory · Physics 2020-08-27 H. Kumawat , P. P. K. Venkata

Thermal radiation transport is a challenging problem in computational physics that has long been approached primarily in one of a few standard ways: approximate moment methods (for instance P$_1$ or M$_1$), implicit Monte Carlo, discrete…

Instrumentation and Methods for Astrophysics · Physics 2026-02-04 J. C. Dolence , H. R. Hammer , H. Park , B. Prather , B. R. Ryan , R. T. Wollaeger

In this work, a new numerical method for the transport of Delayed Neutron Precursors (DNPs) is applied to the Aircraft Reactor Experiment (ARE). The pathline method is based on the Method of Characteristics (MOC) and leverages the pathlines…

Computational Physics · Physics 2025-02-25 Mathis Caprais , Nathan Greiner , André Bergeron
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