MM_Mix: An equation of state generation code for dense mixtures
Lorin X. Benedict, Aaron J. Simon, Zoë C. Long, James R. Leek, Kevin Ren, Christine J. Wu, Philip C. Myint · AIP conference proceedings · 2024
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 radiationhydrodynamic simulations (of inertial-confinement fusion, for example), which require separate ion and electron temperatures.Dramatic speedups in the running of MM_Mix are reported that benefit from parallelization on multicore processors and conversion from Python to modern C++, and preliminary predictions of the composition-dependence of the high-pressure melt temperature in iron-nickel (Fe-Ni) mixtures are presented as an illustrative example.