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