• Matter and Radiation at Extremes
  • Vol. 6, Issue 3, 035901 (2021)
Hong-bo Cai1、2, Xin-xin Yan3, Pei-lin Yao4, and Shao-ping Zhu1、5、6
Author Affiliations
  • 1Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
  • 2Center for Applied Physics and Technology, HEDPS, and College of Engineering, Peking University, Beijing 100871, China
  • 3Center for Applied Physics and Technology, HEDPS, School of Physics, and College of Engineering, Peking University, Beijing 100871, China
  • 4Department of Engineering Physics, Tsinghua University, Beijing 100084, China
  • 5Graduate School, China Academy of Engineering Physics, P.O. Box 2101, Beijing 100088, China
  • 6Science and Technology on Plasma Physics Laboratory, Laser Fusion Research Center, CAEP, 621900 Mianyang, China
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    DOI: 10.1063/5.0042973 Cite this Article
    Hong-bo Cai, Xin-xin Yan, Pei-lin Yao, Shao-ping Zhu. Hybrid fluid–particle modeling of shock-driven hydrodynamic instabilities in a plasma[J]. Matter and Radiation at Extremes, 2021, 6(3): 035901 Copy Citation Text show less
    Energy transfer between fluid electrons and particle ions of mass M = 1836me at density ne = 1024 cm−3. The circles and triangles indicate the simulation results, and the solid and dashed lines are calculated using Eq. (23). Here, all the energies are normalized by the maximum increment of the energy of the electron fluid at the end of the simulation time.
    Fig. 1. Energy transfer between fluid electrons and particle ions of mass M = 1836me at density ne = 1024 cm−3. The circles and triangles indicate the simulation results, and the solid and dashed lines are calculated using Eq. (23). Here, all the energies are normalized by the maximum increment of the energy of the electron fluid at the end of the simulation time.
    Energy transfer between fluid electrons and two species of ions (C:H = 1:1) at density ne = 1024 cm−3. The symbols indicate the simulation results, and the lines are calculated using Eq. (23). Here, all the energies are normalized by the maximum increment of the energy of the electron fluid at the end of the simulation time.
    Fig. 2. Energy transfer between fluid electrons and two species of ions (C:H = 1:1) at density ne = 1024 cm−3. The symbols indicate the simulation results, and the lines are calculated using Eq. (23). Here, all the energies are normalized by the maximum increment of the energy of the electron fluid at the end of the simulation time.
    Initial conditions for simulations of a piston-driven planar shock propagation through the perturbed interface separating two fluids of different densities.
    Fig. 3. Initial conditions for simulations of a piston-driven planar shock propagation through the perturbed interface separating two fluids of different densities.
    Snapshots of the distribution of the logarithm of mass density (in units of g/cm3) at times 2.02 ps (a), 4.04 ps (b), 6.07 ps (c), and 8.09 ps (d), showing the evolution of a single-mode hydrogen/carbon interface. IS denotes the incident shock, RS the reflected shock, TS the transmitted shock, and CRS the convergent reflected shock. As the incident shock wave passes through the plasma interface, it generates a slower second shock in the heavy plasma and a reflected shock running backward into the light plasma. The black contour near the interface encloses the region within which the fractions of both ion populations exceed 10%. This is the so-called ion mixing region.
    Fig. 4. Snapshots of the distribution of the logarithm of mass density (in units of g/cm3) at times 2.02 ps (a), 4.04 ps (b), 6.07 ps (c), and 8.09 ps (d), showing the evolution of a single-mode hydrogen/carbon interface. IS denotes the incident shock, RS the reflected shock, TS the transmitted shock, and CRS the convergent reflected shock. As the incident shock wave passes through the plasma interface, it generates a slower second shock in the heavy plasma and a reflected shock running backward into the light plasma. The black contour near the interface encloses the region within which the fractions of both ion populations exceed 10%. This is the so-called ion mixing region.
    Snapshots of self-generated magnetic fields Bz (in units of T) for RMI at times 2.02 ps (a), 4.04 ps (b), 6.07 ps (c), and 8.09 ps (d).
    Fig. 5. Snapshots of self-generated magnetic fields Bz (in units of T) for RMI at times 2.02 ps (a), 4.04 ps (b), 6.07 ps (c), and 8.09 ps (d).
    (a) Initial conditions for simulation of ion kinetic effects on growth of Rayleigh–Taylor instability. (b)–(d) Snapshots of the distribution of the logarithm of mass density (in units of g/cm3) at times 50 ps, 100 ps, and 150 ps, respectively, showing the evolution of a single-mode heavy/light plasma interface. The black contour near the interface encloses the region within which the fractions of both ion populations exceed 10% (the ion mixing region).
    Fig. 6. (a) Initial conditions for simulation of ion kinetic effects on growth of Rayleigh–Taylor instability. (b)–(d) Snapshots of the distribution of the logarithm of mass density (in units of g/cm3) at times 50 ps, 100 ps, and 150 ps, respectively, showing the evolution of a single-mode heavy/light plasma interface. The black contour near the interface encloses the region within which the fractions of both ion populations exceed 10% (the ion mixing region).
    Snapshots of the distribution of self-generated magnetic fields Bz (in units of T) for RTI at times 50 ps (a), 100 ps (b), and 150 ps (c).
    Fig. 7. Snapshots of the distribution of self-generated magnetic fields Bz (in units of T) for RTI at times 50 ps (a), 100 ps (b), and 150 ps (c).
    Hong-bo Cai, Xin-xin Yan, Pei-lin Yao, Shao-ping Zhu. Hybrid fluid–particle modeling of shock-driven hydrodynamic instabilities in a plasma[J]. Matter and Radiation at Extremes, 2021, 6(3): 035901
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