Open AccessLeading magnetic fusion energy science into the big-and-fast data lane
Author(s) -
R. Kube,
R.M. Churchill,
Jun Yong Choi,
R Wang,
Scott Klasky,
C. S. Chang,
MJ Choi,
Jaeyoung Park
Publication year - 2020
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2172/1668037
Subject(s) - workflow , computer science , code (set theory) , big data , software , base (topology) , sensor fusion , fusion , database , computational science , operating system , programming language , artificial intelligence , mathematical analysis , mathematics , set (abstract data type) , linguistics , philosophy
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