MM_Mix: an equation of state generation code for dense mixtures

ORAL

Abstract

We review and discuss Lawrence Livermore’s multiphase, multicomponent mixture EOS generation code, MM_Mix, highlighting its evolving capabilities and improved computational efficiency. The new capabilities include the possibility to treat line compounds (i.e., multicomponent systems with fixed stoichiometry), and a streamlined and practical method for constructing distinct ion-thermal and electron-thermal contributions to the total mixture EOS, needed for radiation hydrodynamic simulations (of, e.g., ICF) which require separate ion and electron temperatures. Dramatic speed-ups in the running of MM_Mix are presented, which benefit from parallelization and a conversion from Python to modern C++; hydrocode-ready mixture EOS tables consisting of hundreds of thousands of points can now be generated in minutes, rather than the multi-hours needed when using the initial version of MM_Mix.



*This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344.

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Presenters

  • Lorin Benedict

    • Lawrence Livermore National Laboratory

Authors

  • Lorin Benedict

    • Lawrence Livermore National Laboratory

  • Aaron J Simon

    • Lawrence Livermore National Laboratory

  • Zoe Long

    • Lawrence Livermore National Laboratory

  • James R Leek

    • Lawrence Livermore National Laboratory

  • Christine J Wu

    • Lawrence Livermore National Laboratory
    • Lawrence Livermore National Lab
    • Lawrence Livermore Natl Lab

  • Philip C Myint

    • Lawrence Livermore Natl Lab