Machine learning assisted bayesian inference of mix and hot-spot conditions in NIF implosions
Author:
Funder
Laboratory Directed Research and Development
Publisher
Elsevier BV
Reference14 articles.
1. High-mode Rayleigh-Taylor growth in NIF ignition capsules;Hammel;HEDP,2010
2. Hot-spot mix in large-scale HDC implosions at NIF;Zylstra;Phys. Plasmas,2020
3. Diagnosing and controlling mix in National Ignition Facility experiments;Hammel;Phys. Plasmas,2011
4. Hot-spot mix in ignition-scale inertial confinement fusion targets;Regan;Phys. Rev. Lett.,2013
5. Simultaneous diagnosis of radial profiles and mix in NIF ignition-scale implosions via X-ray spectroscopy;Ciricosta;Phys. Plasmas,2017
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1. Statistical data analysis of x-ray spectroscopy data enabled by neural network accelerated Bayesian inference;Review of Scientific Instruments;2024-08-01
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