Studying scaling physics of the MagLIF platform on the Z accelerator facility
Abstract not provided.
Publications
Updates to the Laser Gate Experiment for Increasing Preheat Energy Coupling Efficiency in Magnetized Liner Inertial Fusion (MagLIF)
Abstract not provided.
Deep-Learning-Enabled Assessment of Magnetic Confinement in Magnetized Liner Inertial Fusion
Abstract not provided.
Lasergate: a windowless gas target for enhanced laser preheat in MagLIF
Abstract not provided.
Cryogenic DT layers for high performance MagLIF
Abstract not provided.
Developing a platform to enable higher input parameters in Magnetized Liner Inertial Fusion
Abstract not provided.
Deep-learning-enabled Bayesian inference of fuel magnetization in magnetized liner inertial fusion
Physics of Plasmas
Fuel magnetization in magneto-inertial fusion (MIF) experiments improves charged burn product confinement, reducing requirements on fuel areal density and pressure to achieve self-heating. By elongating the path length of 1.01 MeV tritons produced in a pure deuterium fusion plasma, magnetization enhances the probability for deuterium-tritium reactions producing 11.8−17.1 MeV neutrons. Nuclear diagnostics thus enable a sensitive probe of magnetization. Characterization of magnetization, including uncertainty quantification, is crucial for understanding the physics governing target performance in MIF platforms, such as magnetized liner inertial fusion (MagLIF) experiments conducted at Sandia National Laboratories, Z-facility. We demonstrate a deep-learned surrogate of a physics-based model of nuclear measurements. A single model evaluation is reduced from CPU hours on a high-performance computing cluster down to ms on a laptop. This enables a Bayesian inference of magnetization, rigorously accounting for uncertainties from surrogate modeling and noisy nuclear measurements. The approach is validated by testing on synthetic data and comparing with a previous study. We analyze a series of MagLIF experiments systematically varying preheat, resulting in the first ever systematic experimental study of magnetic confinement properties of the fuel plasma as a function of fundamental inputs on any neutron-producing MIF platform. We demonstrate that magnetization decreases from B ∼0.5 to B MG cm as laser preheat energy deposited increases from preheat ∼460 J to E preheat ∼1.4 kJ. This trend is consistent with 2D LASNEX simulations showing Nernst advection of the magnetic field out of the hot fuel and diffusion into the target liner.
Increased preheat energy to MagLIF targets with cryogenic cooling
Abstract not provided.
Deep-Learning-Enabled Assessment of Magnetic Confinement in Magnetized Liner Inertial Fusion
Abstract not provided.
Developing a platform to enable parameter scaling studies in Magnetized Liner Inertial Fusion experiments
Abstract not provided.
Inertial confinement fusion - Experimental physics: Z-pinch and magnetized liner inertial fusion
Encyclopedia of Nuclear Energy
Abstract not provided.
An overview of magneto-inertial fusion on the Z Machine at Sandia National Laboratories
Abstract not provided.
An overview of magneto-inertial fusion on the Z Machine at Sandia National Laboratories
Abstract not provided.
Fusion gain from cylindrical liner-driven implosions of field reversed configurations
Physics of Plasmas
MagLIF experiments [M.R. Gomez et al., Phys. Plasmas 22, 056306 (2015)] on Z have demonstrated the basic principles of Magneto-Inertial Fusion (MIF) for wall confined plasmas. Other MIF schemes have been proposed based on the liner implosion of closed field magnetically confined plasmas such as Field Reversed Configurations (FRCs) [T. P. Intrator et al., Phys. Plasmas 15, 042505 (2008)]. We present a semi-analytical model of liner driven FRC implosions that predicts the fusion gain of such systems. The model predicts a fusion gain near unity for an FRC imploded by a liner driven by the Z Machine. We show that FRCs could be formed and imploded at the Z facility using the AutoMag liner concept [S. A. Slutz et al., Phys. Plasmas 24, 012704 (2017)]. An initial bias magnetic field can be supplied by the external magnets used in MagLIF experiments. The reverse field is then supplied by an AutoMag liner, which has helical conducting paths imbedded in an insulating substance. Experiments [Shipley et al., Phys. Plasmas 26, 052705 (2019)] have demonstrated that AutoMag can generate magnetic fields greater than 30 Tesla inside of the liner. We have performed 2D Radiation MHD simulations of the formation and implosion of an FRC, which are in good agreement with the analytical model. The FRC formation process could be studied on small pulsed power machines delivering about 1 MA.
High-field FRC development on a 1-MA LTD suitable for liner compression on the Z facility
Abstract not provided.
IMPROVED PERFORMANCE OF MAGNETIZED LINER INERTIAL FUSION EXPERIMENTS WITH HIGH-ENERGY LOW-MIX LASER PREHEAT CONFIGURATIONS
Abstract not provided.
Scaling of MagLIF at the Z Facility and beyond
Abstract not provided.
Narrowband Self-Emission X-ray Imaging of MagLIF Targets on Z
Abstract not provided.
Liner driven Field Reversed Configuration (FRC) implosions
Abstract not provided.
Exploring improved simulation techniques for analysis and design of auto-magnetizing liner experiments
Abstract not provided.
Deep Learning Enabled Bayesian Inference of Fuel Magnetization in Magnetized Liner Inertial Fusion Experiments on Z
Abstract not provided.
Bayesian Analysis Techniques Part 2: Deep Learning in the Inference Loop
Abstract not provided.
Update on MagLIF preheat experiments
Abstract not provided.
Liner driven FRC implosions
Abstract not provided.
Deep Learning Enabled Bayesian Inference of Fuel Magnetization in Magnetized Liner Inertial Fusion Experiments on Z
Abstract not provided.
Results 1–25 of 215