neutron-transport

There are 16 repositories under neutron-transport topic.

  • openmc-dev/openmc

    OpenMC Monte Carlo Code

    Language:Python745731.1k480

  • Geant4/geant4

    Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303

    Language:C++589560308

  • rvignolo/NeutronTransport.jl

    Method of Characteristics neutral particle transport code for reactor physics written in Julia.

    Language:Julia21323

  • CEMeNT-PSAAP/MCDC

    MC/DC: Monte Carlo Dynamic Code

    Language:Python2055020

  • rvignolo/RayTracing.jl

    High performance cyclic ray tracing algorithm for neutron transport in Julia.

    Language:Julia14121

  • NCSU-NCSG/THOR

    THOR is a radiation transport code for unstructured meshes.

    Language:Fortran110435

  • KyleVaughn/UM2

    An unstructured mesh library for automated method of characteristic mesh generation

    Language:C++72242

  • bwhewe-13/discrete1

    One Dimensional Neutron Transport Solver

    Language:Python2100

  • NielsBongers/neutron-transport-monte-carlo

    Energy-dependent neutron transport Monte Carlo implemented in Rust.

    Language:Rust2100
  • eliLaBr

    dan-mihai-filipescu/eliLaBr

    GEANT4 simulation code for LCS gamma-ray sources and flat efficiency moderated He-3 counters array dedicated to photoneutron reaction studies

    Language:C++1100

  • patrikasvanagas/MC-Thermal-Neutron-Transport

    Isotropic Monte Carlo simulations examining thermal neutron statistics in water, lead, and graphite, including animated neutron history, delta tracking and spherical geometry adaptations.

    Language:Jupyter Notebook1200

  • msleigh/snes

    A neutron transport mini-app with both diamond-difference and linear-discontinuous finite element spatial discretisation options

    Language:Fortran0341

  • ndarmage/RM1D

    Implementation of the Ronen Method in 1D geometries

    Language:Python0212

  • udaisharma99/Monte-Carlo-Model-for-Criticality-Conditions

    This project aims to optimize the accuracy of critical size estimations by understanding and minimizing statistical fluctuations and transient effects. Once an optimal strategy is devised, the focus shifts to implementing a cylindrical geometry with a height equal to the radius and using the Monte Carlo code to estimate the critical length.

    0100

  • s4lmon/rmm

    clone of diamond difference method configured to run with response matrix method for extended domains

    Language:Fortran00

  • ThisisShoo/BRPNI_SIM

    Backwards raytracing simulator for polarized neutron imagers.

    Language:Python10