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3D reconstruction of an inertial-confinement fusion implosion with neural networks using multiple heterogeneous data sources

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Harvard Dataverse2024-07-13 收录
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3D reconstruction of an inertial-confinement fusion implosion with neural networks using multiple heterogeneous data sources 2024年7月8日 - Plasma Science and Fusion Center Dataverse J. H. Kunimune; D. T. Casey; B. Kustowski; V. Geppert-Kleinrath; L. Divol; D. N. Fittinghoff; P. L. Volegov; M. K. G. Kruse; J. A. Gaffney; R. C. Nora; J. A. Frenje, 2024, "3D reconstruction of an inertial-confinement fusion implosion with neural networks using multiple heterogeneous data sources", https://doi.org/10.7910/DVN/WPZVPM, Harvard Dataverse, V2 3D asymmetries are major degradation mechanisms in inertial-confinement fusion implosions at the National Ignition Facility (NIF). These asymmetries can be diagnosed and reconstructed with the neutron imaging system (NIS) on three lines of sight around the NIF target chamber. Con...

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Harvard Dataverse
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2024-07-08
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