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These include:\n- [Installation](https://mcdc.readthedocs.io/en/dev/install.html),\n- [User Guide](https://mcdc.readthedocs.io/en/dev/user/index.html),\n- [API Reference](https://mcdc.readthedocs.io/en/dev/pythonapi/index.html), and\n- [Contribution Guide](https://mcdc.readthedocs.io/en/dev/contribution/index.html).\n\n## Citing\n\nIf you use MC/DC in your work and want to provide attribution, please cite the following as appropriate:\n- **[MC/DC Origins]** I. Variansyah, et al. (2023). Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code. Proc. ANS M\u0026C 2025, Niagara Falls, Canada. https://doi.org/10.48550/arXiv.2305.07636.\n- **[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.\n\n## Reporting Bugs and Issues\n\nTo report bugs or request new features, feel free to [open an Issue](https://github.com/CEMeNT-PSAAP/MCDC/issues).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcement-psaap%2Fmcdc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcement-psaap%2Fmcdc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcement-psaap%2Fmcdc/lists"}