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For: Liu Y, Hu R, Kraus A, Balaprakash P, Obabko A. Data-driven modeling of coarse mesh turbulence for reactor transient analysis using convolutional recurrent neural networks. Nuclear Engineering and Design 2022. [DOI: 10.1016/j.nucengdes.2022.111716] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Number Cited by Other Article(s)
1
Liu Y, Dinh N, Sun X, Hu R. Uncertainty Quantification for Multiphase Computational Fluid Dynamics Closure Relations with a Physics-Informed Bayesian Approach. NUCL TECHNOL 2023. [DOI: 10.1080/00295450.2022.2162792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
2
Qi B, Xiao X, Liang J, Po LCC, Zhang L, Tong J. An open time-series simulated dataset covering various accidents for nuclear power plants. Sci Data 2022;9:766. [PMID: 36513714 PMCID: PMC9747709 DOI: 10.1038/s41597-022-01879-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022]  Open
3
Yang J, Sui X, Huang Y, Zhao L, Liu M. Assessment of reactor flow field prediction based on deep learning and model reduction. ANN NUCL ENERGY 2022. [DOI: 10.1016/j.anucene.2022.109367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
4
Liu Y, Hu R, Zou L, Nunez D. SAM-ML: Integrating data-driven closure with nuclear system code SAM for improved modeling capability. NUCLEAR ENGINEERING AND DESIGN 2022. [DOI: 10.1016/j.nucengdes.2022.112059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
5
Iskhakov AS, Tai CK, Bolotnov IA, Dinh NT. A Perspective on Data-Driven Coarse Grid Modeling for System Level Thermal Hydraulics. NUCL SCI ENG 2022. [DOI: 10.1080/00295639.2022.2107864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
6
Zhu LT, Chen XZ, Ouyang B, Yan WC, Lei H, Chen Z, Luo ZH. Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01036] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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