The OpenMC development team is proud to announce the release of a new version, 0.8.0. Once again, there are an array of exciting new features, including:
- Multi-group mode
- Vast improvements to the Python API
- Experimental windowed multiple capability
- Periodic boundary conditions
- Expanded source sampling options
- Distributed materials
- Subcritical multiplication support
- Improved method for reproducible URR table sampling
- Refactor of continuous-energy reaction data structures
- Improved documentation and new Jupyter notebooks
For this release, I’d like to emphasize that the Python API really has changed quite a bit since the last release. If you’re new to the Python API or were using it from version 0.7.1, I highly suggest referring to our Jupyter notebook examples for proper usage.
I’d like to thank Will Boyd, Colin Josey, Kelly Rowland, Adam Nelson, Sam Shaner, Sterling Harper, and especially first-time contributors Jingang Liang and Derek Gaston for their contributions to this release. The source code can be downloaded at https://github.com/mit-crpg/openmc/releases or the master branch on the GitHub Repository.