Open Access
| Issue |
EPJ Web Conf.
Volume 247, 2021
PHYSOR2020 – International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
|
|
|---|---|---|
| Article Number | 13002 | |
| Number of page(s) | 8 | |
| Section | Fuel Cycle and Scenarios | |
| DOI | https://doi.org/10.1051/epjconf/202124713002 | |
| Published online | 22 February 2021 | |
- G. Krivtchik et al. “Scenarios with COSI6: Optimization, Uncertainty and Beyond.” In Technical Workshop On Fuel Cycle Simulation. Columbia, SC, USA (2017). [Google Scholar]
- R. Flanagan et al. “Rickshaw : a new stochastic driver for Cyclus.” In Technical Workshop On Fuel Cycle Simulation. Columbia, SC, USA (2017). [Google Scholar]
- N. Thiolliere et al. “A methodology for performing sensitivity analysis in dynamic fuel cycle simulation studies applied to a PWR fleet simulated with the CLASS tool.” EPJ Nuclear Sci Technol, volume 4 (2018). [Google Scholar]
- B. Mouginot et al. “Core Library for Advanced Scenario Simulation, C.L.A.S.S. : Principle and Application.” In PHYSOR. Kyoto, Japan (2014). [Google Scholar]
- A.-A. Zakari-Issoufou et al. “Impact of Macro Reactor Approximation on Scenario : Modeling in C.L.A.S.S.” In TechnicalWorkshop On Fuel Cycle Simulation. Paris, FRANCE (2018). [Google Scholar]
- N. Thiolliere et al. “The FIT Project: Improving confidence in fuel cycle model.” In Technical Workshop On Fuel Cycle Simulation. Urbana-Champaign, ID, USA (2019). [Google Scholar]
- F. Courtin. Etude de l’incineration du plutonium en REP MOX sur support duranium enrichi avec le code de simulation dynamique du cycle CLASS. PhD in French, Nantes, FRANCE (2017). [Google Scholar]
- K. Ye. “Orthogonal column Latin hypercubes and their application in computer experiments.” Journal of the American Statistical Association, volume 93, pp. 1430–1439 (1998). [Google Scholar]
- W.-C. Chen and R. Maitra. “EMCluster: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution.” (2015). R Package, URL http://cran.rproject.org/package=EMCluster. [Google Scholar]
- J. A. Hartigan and M. A. WongReviewed. “A K-Means Clustering Algorithm.” Journal of the Royal Statistical Society Series C (Applied Statistics), volume 28 (1979). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.