Bulletin of the American Physical Society
60th Annual Meeting of the APS Division of Plasma Physics
Volume 63, Number 11
Monday–Friday, November 5–9, 2018; Portland, Oregon
Session JO4: Analytical and Computational Techniques in Inertial Confinement Fusion
2:00 PM–4:36 PM,
Tuesday, November 6, 2018
OCC
Room: B110-112
Chair: Chuang Ren, University of Rochester
Abstract ID: BAPS.2018.DPP.JO4.2
Abstract: JO4.00002 : High-order Conservative, Eulerian, Multi-dimensional Hydrodynamic Simulations of Interpenetrating Plasmas*
2:12 PM–2:24 PM
Presenter:
Richard Berger
(Lawrence Livermore Natl Lab)
Authors:
Richard Berger
(Lawrence Livermore Natl Lab)
D. Ghosh
(Lawrence Livermore Natl Lab)
T. D Chapman
(Lawrence Livermore Natl Lab)
W. Arrighi
(Lawrence Livermore Natl Lab)
J W Banks
(Rensselaer Polytechnique Institute, Troy, NY)
A M Dimits
(Lawrence Livermore Natl Lab)
J A Hittinger
(Lawrence Livermore Natl Lab)
I Joseph
(Lawrence Livermore Natl Lab)
C. Kavouklis
(Lawrence Livermore Natl Lab)
A three-dimensional multi-species, multi-flow set of hydrodynamic equations has been developed. Plasmas moving at high relative velocity evolve on a shared Cartesian mesh nearly independently, coupled weakly by the shared electron pressure, ion-ion drag, electron-ion friction, and temperature equilibration. The electron inertia is neglected in the electron momentum evolution which eliminates the electrostatic potential and the need to solve Poisson's equation. This well-justified approximation for nonrelativistic flows increases the ease of parallelization and eliminates the electron plasma frequency time scale which allows a much larger time step. An arbitrary number of ion species with their own flows and ion temperatures are allowed and simulated in the examples discussed in this talk.
Application to basic physics experiments on collisionless shocks and to indirect-drive laser fusion experiments in hohlraums will be demonstrated.
*This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 and funded by the Laboratory Research and Development Program at LLNL under project tracking code 17-ERD-081. Computing support came from the LLNL Institutional Computing Grand Challenge program
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.JO4.2
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