Impact of nanocrystalline grain boundaries on first-shock dynamics in ICF implosions
ORAL
Abstract
Repeated fusion ignition shots at NIF employ a strong 12 Mbar first shock to completely melt the high-density carbon (HDC) ablator, which is thought to be a potential seed of hydrodynamic instabilities and DT fuel/ablator mixing. Achieving a new 10+ MJ yield milestone would be significantly aided by the reduction of the fuel adiabat and robust control of instability seeds and resultant fuel/ablator mix dynamics at the nanoscale. Current ICF design moves towards nanocrystalline diamond (NCD) ablators, which possess a significant fraction of low-density (~2.2 g/cm³) graphitic sp² carbon atoms in NCD grain boundaries. However, the potential impact of grain boundary structure on the first shock and release into DT ice is currently unknown.
In this talk, we discuss results of billion-atom machine learning molecular dynamics (MD) simulations of shocked NCD ablator targets at experimental micrometer and nanosecond time and length scales on exascale DOE supercomputer Frontier, specifically focusing on investigating inhomogeneities due to incomplete melting behind the first shock front as well as the persistence of solid fragments upon the NCD release. Our goal is to explore whether the strength of the first shock can be safely reduced without a significant effect on NCD/DT mix.
In this talk, we discuss results of billion-atom machine learning molecular dynamics (MD) simulations of shocked NCD ablator targets at experimental micrometer and nanosecond time and length scales on exascale DOE supercomputer Frontier, specifically focusing on investigating inhomogeneities due to incomplete melting behind the first shock front as well as the persistence of solid fragments upon the NCD release. Our goal is to explore whether the strength of the first shock can be safely reduced without a significant effect on NCD/DT mix.
*This work is supported by the Academic Collaboration Team (ACT) program at Lawrence Livermore National Laboratory (LLNL). Part of the work was performed under the auspices of the US Department of Energy by LLNL under contract No. DE-AC52-07NA27344. The computations were performed using leadership class HPC system Frontier at Oak Ridge National Laboratory (ALCC and INCITE Awards Nos. MAT198 and MAT261).
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Presenters
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Ivan Oleynik
- University of South Florida