OpenMC version 0.8.0

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 or the master branch on the GitHub Repository.

Best regards,

Heartiest congratulations to the development team. I being a faithful user of OpenMC would like to thank all of you. Thank you very much for all the effort which goes into making a release possible. Keep up the good work. You guys rock.

I find a familiar old friend name in first-time contributors list: Jingang Liang.