ARTIFICIAL INTELLIGENCE IN NUCLEAR ENGINEERING
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Wang Bo Harbin Engineering University
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A review on machine learning techniques in the context of pulsating heat pipes
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Kumar Vivek The University of Tokyo
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Temperature Flied Rapid Estimation of Space Nuclear Thermionic Reactor Based on Reduced-Order Model
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Wang Chenglong Xi'an Jiaotong University
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Constructing High-Fidelity Flow Field Data for a Pressurized Water Reactor Core Based on the Physics-Informed Neural Networks
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Zhang Huifang Xi'an Jiaotong University
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Data-driven sparse sensor placement for thermal-hydraulic experiments
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Xicheng Wang Royal Institute of Technology
NuclII
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Recent developments in Nuclear engineering using Machine learning to enhance the design, safety, and operational efficiency of nuclear reactors
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Kumar Prashant Indian Institute of Technology, Kharagpur
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Physics-based and Data-driven Digital Twins for 3D-temperature Evolution of FE Experiment
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Guang Hu Eindhoven University of Technology
EnerI
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Modeling Transient Thermal Stratification in the Upper plenum of a MONJU Reactor Using Entropy Production Analysis Combined with CNN-LSTM
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Li Jinchao Harbin Engineering University
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EXPERIMENTAL PROGRESS OF 209BI(N,G)210GBI CROSS-SECTION MEASUREMENT BASED ON POLONIUM SELF-DEPOSITION TECHNIQUE
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Xu Feng Harbin Engineering University
EnerI
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