OpenMC version 0.8.0

[Paul Romano]

Hi all,

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.

Best regards,

Paul