MC/DC on GitHub Read the Docs M&C Intro Paper

Monte Carlo / Dynamic Code (MC/DC) is the primary deliverable for our center. It includes novel transport methods focused for transient neutron transport as well as an acceleration and abstraction software engineering scheme to make MC/DC a platform for rapid methods development in the felid. While MC/DC is where we deploy our novel algorithms and rapidly develop numerical methods for transient transport it is also intended to live beyond the length of the center. It includes a full testing library (unit, regression, verification, performance), continuous integration (via GitHub actions and chron jobs), issue tracking, documentation site, and published PR and contribution process.

CEMeNT research implemented in MC/DC

  • Fully transient transport
  • iQMC hybrid Monte Carlo iterative methods
  • Intrusive UQ
  • Python acceleration and abstraction techniques for CPUs and GPUs
  • Asynchronous GPU scheduling
  • Automatic transient weight window production
  • Hash based random number generation for complete reproducibility


  • Multigroup physics
    • Capture
    • Isotropic scattering
    • Fission (prompt and delayed)
  • Continuous energy physics
    • NJOY generated point-wise data,
      1. Room temperature
      2. Assumed linear interpolation
    • Capture (MT=102-117)
    • Fission (prompt and delayed)
    • Scattering (non-capture & non-fission)
      1. Isotropic elastic scattering in COM
      2. Free gas, constant XS model for thermal scattering
    • Support almost all nuclides
  • Geometry
    • Surface-tracking
    • Quadric CSG surface
    • Multi-level lattice
    • Time-dependent planar surfaces
  • Simulation modes
    • Fixed-source (time-dependent)
    • k-Eigenvalue
  • Running modes: Python, Numba
  • Parallel support
    • MPI
    • Numba-CUDA (via Harmonize)
    • Domain decomposition
    • Reproducibility (via hash-based RNG seeding)