Open Access
| Issue |
EPJ Web Conf.
Volume 247, 2021
PHYSOR2020 – International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
|
|
|---|---|---|
| Article Number | 12009 | |
| Number of page(s) | 8 | |
| Section | Fuel Performance and Management | |
| DOI | https://doi.org/10.1051/epjconf/202124712009 | |
| Published online | 22 February 2021 | |
- V. Petrov, B. Kendrick, D Walter, A. Manera, J Secker, “Prediction of CRUD deposition on PWR fuel using a state-of-the-art CFD-based multi-physics computational tool,” Nuclear Engineering and Design, 299, pp. 95–104 (2016). [Google Scholar]
- J.A. Turner, K. Clarno, M. Sieger, R. Bartlett, B. Collins, R. Pawlowski, R. Schmidt, and R. Summers, “The Virtual Environment for Reactor Applications (VERA): Design and Architecture,” Journal of Computational Physics, 326, pp. 544–568 (2016). [Google Scholar]
- T. Rogers, J. Ragusa, S. Schultz, and R. St. Clair, “Optimization of PWR fuel assembly radial enrichment and burnable poison location based on adaptive simulated annealing,” Nuclear Engineering and Design, 239, pp. 1019–1029 (2009). [Google Scholar]
- C. Martin-del-Campo, J. Francois, R. Carmona, and I. Oropeza, “Optimization of BWR fuel lattice enrichment and gadolina distribution using genetic algorithms and knowledge,” Annals of Nuclear Energy, 34, pp. 248–253 (2007). [Google Scholar]
- J. Rhodes, K. Smith, and D. Lee, “CASMO-5 Development and Applications,” Proceedings of ANS Topical Meeting on Reactor Physics, (PHYSOR-2006), Vancouver, British Columbia, September 10-14, 2006 (2006). [Google Scholar]
- F. Chollet, “Deep Learning with Python,” Chapter 4, Manning Publications Co., Shelter Island, NY, (2018). [Google Scholar]
- D. Goldberg “Genetic Algorithms in search, Optimization, and Machine Learning,” pp 1-87, Pearson, (1989). [Google Scholar]
- “Compute Resources,” https://projects.ncsu.edu/hpc/About/ComputeResources.php (2019). [Google Scholar]
- B. Andersen “Development and Assessment of Multi-Objective Optimization Utilizing Genetic Algorithms for Nuclear Fuel Assembly Design,” Master’s Thesis, North Carolina State University, 2018. [Google Scholar]
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