The modeling of delayed-onset Rayleigh-Taylor and transition to mixing in laser-driven HED experiments

doi:10.1063/1.5085332

This content will become publicly available on May 29, 2020

Title: The modeling of delayed-onset Rayleigh-Taylor and transition to mixing in laser-driven HED experiments

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Abstract

In this paper, we discuss simulations, along with a benchmarking experiment, performed using the xRAGE code which demonstrate the ability of a laser model to predict laser-driven, high-energy-density shock hydrodynamics with good fidelity. This directly contributes to our ability to model hydrodynamic-instability dynamics produced by a laser drive typical of those available at OMEGA, OMEGA-EP, NIF, and similar facilities. In particular, we show how the laser model is essential for predicting deceleration-phase Rayleigh-Taylor arising from laser turn-off. We do this using the experimental case of a seeded single-mode perturbation. Then, we turn to a seeded multimode perturbation to show how the above result permits us to access the modeling of hydrodynamic mixing, a topic of interest for future work.

Authors:

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Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States); The Univ. of Michigan, Ann Arbor, MI (United States)

Publication Date:: 2019-05-29

Research Org.:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1532711

Alternate Identifier(s):: OSTI ID: 1523326

Report Number(s):: LA-UR-18-31213
Journal ID: ISSN 1070-664X

Grant/Contract Number:: 89233218CNA000001; AC52-06NA25396

Resource Type:: Accepted Manuscript

Journal Name:: Physics of Plasmas

Additional Journal Information:: Journal Volume: 26; Journal Issue: 5; Journal ID: ISSN 1070-664X

Publisher:: American Institute of Physics (AIP)

Country of Publication:: United States

Language:: English

Citation Formats


                    Di Stefano, Carlos A., Doss, Forrest William, Rasmus, Alexander Martin, Flippo, Kirk Adler, and Haines, Brian Michael. The modeling of delayed-onset Rayleigh-Taylor and transition to mixing in laser-driven HED experiments.  United States: N. p., 2019. 
        Web.  doi:10.1063/1.5085332.

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                    Di Stefano, Carlos A., Doss, Forrest William, Rasmus, Alexander Martin, Flippo, Kirk Adler, & Haines, Brian Michael. The modeling of delayed-onset Rayleigh-Taylor and transition to mixing in laser-driven HED experiments.  United States.  doi:10.1063/1.5085332.

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                    Di Stefano, Carlos A., Doss, Forrest William, Rasmus, Alexander Martin, Flippo, Kirk Adler, and Haines, Brian Michael. Wed .  
        "The modeling of delayed-onset Rayleigh-Taylor and transition to mixing in laser-driven HED experiments".  United States.  doi:10.1063/1.5085332.

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@article{osti_1532711,

  title        = {The modeling of delayed-onset Rayleigh-Taylor and transition to mixing in laser-driven HED experiments},

  author       = {Di Stefano, Carlos A. and Doss, Forrest William and Rasmus, Alexander Martin and Flippo, Kirk Adler and Haines, Brian Michael},

  abstractNote = {In this paper, we discuss simulations, along with a benchmarking experiment, performed using the xRAGE code which demonstrate the ability of a laser model to predict laser-driven, high-energy-density shock hydrodynamics with good fidelity. This directly contributes to our ability to model hydrodynamic-instability dynamics produced by a laser drive typical of those available at OMEGA, OMEGA-EP, NIF, and similar facilities. In particular, we show how the laser model is essential for predicting deceleration-phase Rayleigh-Taylor arising from laser turn-off. We do this using the experimental case of a seeded single-mode perturbation. Then, we turn to a seeded multimode perturbation to show how the above result permits us to access the modeling of hydrodynamic mixing, a topic of interest for future work.},

  doi          = {10.1063/1.5085332},

  journal      = {Physics of Plasmas},

  number       = 5,

  volume       = 26,

  place        = {United States},

  year         = {2019},

  month        = {5}

}

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