Deep learning for NLTE spectral opacities-Reference-Cited by-同舟云学术

Deep learning for NLTE spectral opacities

Published:2020-05 Issue:5 Volume:27 Page:052707
ISSN:1070-664X
Container-title:Physics of Plasmas
language:en
Short-container-title:Physics of Plasmas

Author:

Kluth G.¹^ORCID,Humbird K. D.²,Spears B. K.²,Peterson J. L.²^ORCID,Scott H. A.²^ORCID,Patel M. V.²^ORCID,Koning J.²,Marinak M.²,Divol L.²,Young C. V.²^ORCID

Affiliation:

1. CEA, DAM, DIF, 91297 Arpajon, France

2. Lawrence Livermore National Laboratory, Livermore, California 94550, USA

Funder

Direction Générale de l'Armement

Direction des applications militaires

Lawrence Livermore National Laboratory

Publisher

AIP Publishing

Subject

Condensed Matter Physics

Link

http://aip.scitation.org/doi/am-pdf/10.1063/5.0006784

Reference24 articles.

1. Progress towards a more predictive model for hohlraum radiation drive and symmetry

2. The role of a detailed configuration accounting (DCA) atomic physics package in explaining the energy balance in ignition-scale hohlraums

3. Development and validation of the TROLL radiation-hydrodynamics code for 3D hohlraum calculations

4. Detailed implosion modeling of deuterium-tritium layered experiments on the National Ignition Facility

5. Interpretation of proton radiography experiments of hohlraums with three-dimensional simulations

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Toward digital design at the exascale: An overview of project ICECap;Physics of Plasmas;2024-06-01

2. Accelerated real-time plasma diagnostics: Integrating argon collisional-radiative model with machine learning methods;Spectrochimica Acta Part B: Atomic Spectroscopy;2024-05

3. Deep learning-based predictive models for laser direct drive at the Omega Laser Facility;Physics of Plasmas;2024-05-01

4. Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees);Journal of Computational Physics;2024-02

5. Introduction;Springer Series in Plasma Science and Technology;2024