Open AccessDeep learning for NLTE spectral opacities
Author(s) -
G. Kluth,
Kelli Humbird,
B. K. Spears,
J. L. Peterson,
H. A. Scott,
M. V. Patel,
J. M. Koning,
M. M. Marinak,
L. Divol,
C. V. Young
Publication year - 2020
Publication title -
physics of plasmas
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.75
H-Index - 160
eISSN - 1089-7674
pISSN - 1070-664X
DOI - 10.1063/5.0006784
Subject(s) - physics , multiphysics , hohlraum , artificial neural network , inertial confinement fusion , statistical physics , code (set theory) , thermonuclear fusion , computational science , computational physics , plasma , artificial intelligence , nuclear physics , computer science , set (abstract data type) , finite element method , thermodynamics , programming language
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