A performant, scalable, and machine-portable Monte Carlo radiation transport code.

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  • License: BSD License (BSD 3-Clause License)
  • Author: MC/DC Development Team
  • Maintainer: Ilham Variansyah
  • Tags gpu , high-performance computing , hpc , monte carlo , mpi , neutron transport , numba , radiation transport
  • Requires: Python >=3.10
  • Provides-Extra: dev , docs
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Project description

MC/DC: Monte Carlo Dynamic Code

MC/DC logo

Build Docker Build, Test, and Publish Read the Docs PyPI DOI License

MC/DC is an open-source, Python-based Monte Carlo radiation transport code that combines rapid methods development with scalable, high-performance execution on modern computing systems. Originally initiated by the Center for Exascale Monte Carlo Neutron Transport (CEMeNT), MC/DC development is now led by the Center for Advancing the Radiation Resilience of Electronics (CARRE).

Features

  • Monte Carlo neutron transport (with photon and charged-particle capabilities under development)
  • Time-dependent, steady-state, and eigenvalue simulations
  • Multiple physics fidelities (continuous-energy/multi-group, single-scattering/condensed-history)
  • Distributed-memory parallel execution with MPI
  • Machine-portable Python implementation accelerated by Numba JIT compilation
  • Extensible architecture for rapid methods development and prototyping

Installation

Install the latest stable release from PyPI:

pip install mcdc

For development installation and additional options, see the Installation Guide.

Documentation

Complete documentation is available on Read the Docs, including:

Citing

If you use MC/DC in published work, please cite one or more of the following references as appropriate:

  • MC/DC Origins
    I. Variansyah, et al. (2023). Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code. Proceedings of the ANS Mathematics & Computation Conference 2025, Niagara Falls, Canada. https://doi.org/10.48550/arXiv.2305.07636

  • MC/DC JOSS Article
    J. Morgan, et al. (2024). Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development. Journal of Open Source Software, 9(96), 6415. https://doi.org/10.21105/joss.06415

Reporting Bugs and Issues

To report bugs, request features, or ask questions, please open a GitHub Issue.

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Avatar for ilhamv23 from gravatar.com ilhamv23 Avatar for jpmorgan98 from gravatar.com jpmorgan98 Avatar for kyleniemeyer from gravatar.com kyleniemeyer Avatar for melekderman from gravatar.com melekderman

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  • License: BSD License (BSD 3-Clause License)
  • Author: MC/DC Development Team
  • Maintainer: Ilham Variansyah
  • Tags gpu , high-performance computing , hpc , monte carlo , mpi , neutron transport , numba , radiation transport
  • Requires: Python >=3.10
  • Provides-Extra: dev , docs
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1.2.0.dev20260220 pre-release

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0.14.1

0.14.0

0.12.0

0.11.1

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