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Gong H, Cheng S, Chen Z, Li Q. Data-Enabled Physics-Informed Machine Learning for Reduced-Order Modeling Digital Twin: Application to Nuclear Reactor Physics. NUCL SCI ENG 2022. [DOI: 10.1080/00295639.2021.2014752] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Helin Gong
- Nuclear Power Institute of China, Science and Technology on Reactor System Design Technology Laboratory, 610041 Chengdu, China
| | - Sibo Cheng
- Imperial College London, Data Science Institute, Department of Computing, London SW7 2BU, United Kingdom
- EDF R&D Saclay, 91120 Palaiseau, France
| | - Zhang Chen
- Nuclear Power Institute of China, Science and Technology on Reactor System Design Technology Laboratory, 610041 Chengdu, China
| | - Qing Li
- Nuclear Power Institute of China, Science and Technology on Reactor System Design Technology Laboratory, 610041 Chengdu, China
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