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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.



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