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Frontiers in Energy Research
(Jul 2022)
Editorial: Artificial Intelligence Applications in Nuclear Energy
Xianping Zhong,
Jun Wang,
Xingang Zhao,
Yang Liu,
Shripad T Revankar
Affiliations
Xianping Zhong
Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA, United States
Jun Wang
Department of Engineering Physics, University of Wisconsin, Madison, WI, United States
Xingang Zhao
Nuclear Energy and Fuel Cycle Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Yang Liu
Nuclear Science and Engineering Division, Argonne National Laboratory, Lemont, IL, United States
Shripad T Revankar
Department of Nuclear Engineering, Purdue University, West Lafayette, IN, United States
DOI
https://doi.org/10.3389/fenrg.2022.965581
Journal volume & issue
Vol. 10
Abstract
Read online
No abstracts available.
Keywords
artificial intelligence—AI
machine learning—ML
software development
equipment prognostics and health management
reactor design optimization
nuclear safety analysis and accident management
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