mcdc-project / mcdc-project/mcdc
Implement Monte Carlo/Discontinuous Galerkin hybrid method
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- Dominant language
- Python
- Stars
- 61
- Forks
- 38
- Avg merge
- 1d 13h
- Merged PRs (30d)
- 10
Description
From the 05/07/2025 document "MC/DC Plans Through the End of CEMeNT" :
I am currently implementing a hybrid using (Q)MC and discrete ordinates as additional feature.
So far fixed source, stationary problems appear to be running locally, though I'll need to clean up and test multigroup problems.
Time dependence should be straightforward from there.
Extending to Eigenvalue problems and improving the deterministic solvers via preconditioning and GMRES is likely next.
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start with the 05/07/2025 document “MC/DC Plans Through the End of CEMeNT” and the existing local hybrid implementation for fixed-source, stationary problems. No files, tests, or entry points are named; the scope and definition of done need to be narrowed before work can begin, including whether to prioritize multigroup cleanup, time dependence, eigenvalue problems, or solver improvements.
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Assessment
- Tech stack
- python
- Domain
- hpc
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100