Results from single-shock Marble experiments studying thermonuclear burn in the presence of heterogeneous mix on the National Ignition Facility

Murphy, T. J.; Albright, B. J.; Douglas, M. R.; Cárdenas, T.; Cooley, J. H.; Day, Thomas; Denissen, Nicolas; Gore, Robert; Gunderson, Michael A.; Haack, J.; Haines, Brian; Hamilton, Christopher E.; Hartouni, E. P.; Kim, Y.; Kozłowski, Paweł; Lee, M.N.; Oertel, J. A.; Olson, R. E.; Randolph, R. B.; Shah, Rahul; Smidt, Joseph; Woods, Douglas N.; Yin, L.

doi:10.1016/j.hedp.2021.100929

Cited by 11 publications

(2 citation statements)

References 43 publications

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“…For example, our preliminary results of the Marble experiments described below show a complex flow evolution during pre-heat, with self-generated shocks temporarily halting the mixing. Please see Murphy et al 13 for details of the Marble experiment at the National Ignition Facility. Similarly, for late-time mixing, orbital free density functional theory (OF-DFT) calculations 12 show that common transport models can have significant errors and may need to be locally updated 9 .…”

Section: Resultsmentioning

confidence: 99%

Predictive scale-bridging simulations through active learning

Karra,

Mehana,

Lubbers

et al. 2023

Sci Rep

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Throughout computational science, there is a growing need to utilize the continual improvements in raw computational horsepower to achieve greater physical fidelity through scale-bridging over brute-force increases in the number of mesh elements. For instance, quantitative predictions of transport in nanoporous media, critical to hydrocarbon extraction from tight shale formations, are impossible without accounting for molecular-level interactions. Similarly, inertial confinement fusion simulations rely on numerical diffusion to simulate molecular effects such as non-local transport and mixing without truly accounting for molecular interactions. With these two disparate applications in mind, we develop a novel capability which uses an active learning approach to optimize the use of local fine-scale simulations for informing coarse-scale hydrodynamics. Our approach addresses three challenges: forecasting continuum coarse-scale trajectory to speculatively execute new fine-scale molecular dynamics calculations, dynamically updating coarse-scale from fine-scale calculations, and quantifying uncertainty in neural network models.

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Section: Resultsmentioning

confidence: 99%

Predictive scale-bridging simulations through active learning

Karra,

Mehana,

Lubbers

et al. 2023

Sci Rep

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“…(The mix model was not used in the highresolution simulations.) In xRAGE, the thermonuclear reaction rate 34,35 is modified according to…”

Section: Numerical Modelingmentioning

confidence: 99%

Experimental quantification of the impact of heterogeneous mix on thermonuclear burn

et al. 2022

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In inertial confinement fusion (ICF), deuterium-tritium (DT) fuel is brought to densities and temperatures where fusion ignition occurs. Mix of ablator material into the fuel may prevent ignition by diluting and cooling the fuel. MARBLE experiments at the National Ignition Facility (NIF) provide new insight into how mix affects thermonuclear burn. These experiments use laser-driven capsules containing deuterated plastic foam and tritium gas. Embedded within the foam are voids of known sizes and locations, which control the degree of heterogeneity of the fuel. Initially, the reactants are separated, with tritium concentrated in the voids and deuterium in the foam. During the implosion, mix occurs, leading to DT fusion reactions in the mixed region. Here we show that by measuring ratios of DT and deuterium-deuterium (DD) neutron yields for different macropore sizes and gas

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Transport in non-ideal, multi-species plasmas

2021

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Charged particle transport plays a critical role in the evolution of high energy-density plasmas. As high-fidelity plasma models continue to incorporate new micro-physics, understanding multi-species plasma transport becomes increasingly important. We briefly outline theoretical challenges of going beyond single-component systems and binary mixtures as well as emphasize the roles experiment, simulation, theory, and modeling can play in advancing this field. The 2020 Division of Plasma Physics mini-conference on transport in Transport in Non-Ideal, Multi-Species Plasmas was organized to bring together a broad community focused on modeling plasmas with many species. This special topics issue of Physics of Plasmas touches on aspects of ion transport presented at that mini-conference. This special topics issue will provide some context for future growth in this field.

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Results from single-shock Marble experiments studying thermonuclear burn in the presence of heterogeneous mix on the National Ignition Facility

Cited by 11 publications

References 43 publications

Predictive scale-bridging simulations through active learning

Predictive scale-bridging simulations through active learning

Experimental quantification of the impact of heterogeneous mix on thermonuclear burn

Transport in non-ideal, multi-species plasmas

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