Author:
Huang Zili,Duo Yihua,Xu Hong
Reference34 articles.
1. (An) assessment and development of drift-flux correlation and its limitation in fast transient conditions of pressurized water reactors. Master's Thesis;Alfaifi,2021
2. Arteaga-Arteaga, H.B., Mora-Rubio, A., Florez, F., Murcia-Orjuela, N., Diaz-Ortega, C.E., Orozco-Arias, S., delaPava,M.,Bravo-Ortíz, M.A., Robinson, M., Guillen-Rondon, P., Tabares-Soto, R., 2021. Machine learning applications to predict two-phase flow patterns. PeerJ Comput. Sci. 7:e798 DOI 10.7717/peerj-cs.798.
3. Deep learning for safety assessment of nuclear power reactors: reliability, explainability, and research opportunities;Ayodeji;Prog. Nucl. Energy,2022
4. Machine learning enabled advanced manufacturing in nuclear engineering applications;Blevins;Nucl. Eng. Des.,2020
5. Critical heat flux experiments and a post-CHF heat transfer analysis using 2D inverse heat transfer;Duartea;Nucl. Eng. Des.,2018
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献