29 results on '"Gao, Chuntian"'
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2. Numerical simulation study of boiling Critical Heat Flux characteristics of graphene nanofluids
3. Visual observations of steam–air submerged horizontal jets at low mass flux
4. Numerical study on surface corrosion deposition of fuel elements and its influence on flow heat transfer
5. Influence of PCHE size and types on thermodynamic and economic performance of supercritical carbon dioxide Brayton cycle for small modular reactors and its optimization
6. U-50Zr helical cruciform fuel performance analysis based on MOOSE framework
7. Performance analysis of a small lead-cooled fast reactor coupled with a copper-chloride cycle hydrogen production system
8. Reactor power control system design and dynamic simulation for load maneuvers over full range and entire lifetime of an integrated supercritical CO2 reactor plant
9. Characteristics of heat transfer in corrosion products deposited on the surface of pressurized water reactor fuel elements
10. A review on the external cooling of the pressure vessel lower head in nuclear power plant
11. Development of a bypass control strategy for supercritical CO2 Brayton cycle cooled reactor system under load-following operation
12. Preliminary safety evaluation of a supercritical carbon dioxide Brayton cycle cooled reactor system under loss-of-flow accident
13. Preliminary study of system design and safety analysis methodology for supercritical carbon dioxide Brayton cycle direct-cooled reactor system
14. A review of research and development of supercritical carbon dioxide Brayton cycle technology in nuclear engineering applications
15. Development of a fully implicit ODE-solver for containment analysis code.
16. Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study
17. U-50zr Helical Cruciform Fuel Performance Analysis Based on Moose Framework
18. Additional file 5 of Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study
19. Additional file 3 of Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study
20. Additional file 6 of Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study
21. Additional file 2 of Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study
22. Additional file 10 of Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study
23. Additional file 8 of Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study
24. Additional file 4 of Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a retrospective study
25. Automatic and Efficient Prediction of Hematoma Expansion in Patients with Hypertensive Intracerebral Hemorrhage Using Deep Learning Based on CT Images
26. Supercritical CO2 Brayton Cycle Design for Small Modular Reactor with a Thermodynamic Analysis Solver
27. Development and Verification of a Transient Analysis Tool for Reactor System Using Supercritical CO2 Brayton Cycle as Power Conversion System
28. Supercritical CO2 Brayton Cycle Design for Small Modular Reactor with a Thermodynamic Analysis Solver.
29. Development and Verification of a Transient Analysis Tool for Reactor System Using Supercritical CO2 Brayton Cycle as Power Conversion System.
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