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All issues Volume 247 (2021) EPJ Web Conf., 247 (2021) 04001 References
Open Access
Issue
EPJ Web Conf.
Volume 247, 2021
PHYSOR2020 – International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
Article Number 04001
Number of page(s) 12
Section Monte Carlo Transport
DOI https://doi.org/10.1051/epjconf/202124704001
Published online 22 February 2021
  1. T. Kitada and T. Takeda. “Effective Convergence of Fission Source Distribution in Monte Carlo Simulation.” J Nucl Sci Technol, volume 38(5), pp. 324–329 (2001). [Google Scholar]
  2. S. Carney, F. Brown, and B. Kiedrowski. Ann Nucl Energy, pp. 423–431. [Google Scholar]
  3. L. Pan, R. Wang, and S. Jiang. “Monte Carlo Fission Matrix Acceleration Method with Limited Inner Iteration.” Nucl Sci Eng, volume 180(2), pp. 199–208 (2015). [Google Scholar]
  4. J. Dufek and K. Tuttelberg. “Monte Carlo Criticality Calculations by a Growing Neutron Population.” Ann Nucl Energy, volume 94, pp. 16–21 (2016). [Google Scholar]
  5. T. Yamamoto and Y. Miyoshi. “Reliable Method for Fission Source Convergence of Monte Carlo Crititcality Calculation with Wielandt’s Method.” J Nucl Sci Technol, volume 41(2), pp. 99–107 (2004). [Google Scholar]
  6. D. She, K. Wang, and G. Yu. “Asymptotic Wielandt Method and Superhistory Method for Source Convergence in Monte Carlo Criticality Calculation.” Nucl Sci Eng, volume 172(2), pp. 127–137 (2012). [Google Scholar]
  7. M. J. Lee, H. G. Joo, D. Lee, and K. Smith. “Coarse Mesh Finite Difference Formulation for Accelerated Monte Carlo Eigenvalue Calculation.” Ann Nucl Energy, volume 65, pp. 101–113 (2013). [Google Scholar]
  8. J. Leppänen. “Acceleration of Fission Source Convergence in the Serpent 2 Monte Carlo Code using a Response Matrix Based Solution for the Initial Source Distribution.” Ann Nucl Energy, volume 128, pp. 63–68 (2019). [Google Scholar]
  9. J. Leppänen, M. Pusa, T. Viitanen, V. Valtavirta, and T. Kaltiaisenaho. “The Serpent Monte Carlo code: Status, development and applications in 2013.” Ann Nucl Energy, volume 82, pp. 142–150 (2015). [Google Scholar]
  10. N. Horelik, B. Herman, M. Ellis, S. Kumar, J. Liang, B. Forget, and K. Smith. “Benchmark for Evaluation and Validation of Reactor Simulations (rev. 2.0.2).” (2018). URL http://crpg.mit.edu/research/beavrs. [Google Scholar]
  11. J. Leppänen, T. Viitanen, and O. Hyvönen. “Development of a Variance Reduction Scheme in the Serpent 2 Monte Carlo Code.” In Proceedings of M&C 2017. Jeju, Korea, Apr. 16-20, 2017. [Google Scholar]
  12. B. Wendt, L. Kerby, A. Tumulak, and J. Leppänen. “Advancement of Functional Expansion Capabilities: Implementation and Optimization in Serpent 2.” Nuc Eng Des, volume 334, pp. 138–153 (2018). [Google Scholar]
  13. L. Kerby, A. Tumulak, J. Leppänen, and V. Valtavirta. “Preliminary Serpent-MOOSE Coupling and Implementation of Functional Expansion Tallies in Serpent.” In Proceedings of M&C 2017. Jeju, Korea, Apr. 16-20, 2017. [Google Scholar]
  14. J. Cheatham, J. P. Holloway, and W. R. Martin. “Improving Monte Carlo Source Convergence with the Functional Expansion Technique.” Trans Am Nucl Soc, volume 96, pp. 838–840 (2007). [Google Scholar]
  15. D. P. Griesheimer. Functional Expansion Tallies for Monte Carlo Simulations. Ph.D. thesis, University of Michigan, Ann Arbor, MI, USA (2005). [Google Scholar]
  16. D. Gaston, C. Newman, G. Hansen, and D. Lebrun-Grandié. “MOOSE: A Parallel Computational Framework for Coupled Systems of Nonlinear Equations.” Nucl Eng Des, volume 239, pp. 1768–1778 (2009). [Google Scholar]
  17. J. Leppänen, R. Mattila, and M. Pusa. “Validation of the Serpent-ARES code sequence using MIT BEAVRS benchmark - Initial core at HZP conditions.” Ann Nucl Energy, volume 69, pp. 212–225 (2014). [Google Scholar]
  18. J. Leppänen and R. Mattila. “Validation of the Serpent-ARES code sequence using the MIT BEAVRS benchmark - HFP conditions and fuel cycle 1 simulations.” Ann Nucl Energy, volume 96, pp. 324–331 (2016). [Google Scholar]
  19. F. Brown. “On the Use of Shannon Entropy of the Fission Distribution for Assessing Convergence of Monte Carlo Criticality Problems.” In Proceedings of PHYSOR 2006. Vancouver, BC, Canada, Sept. 10-14, 2006. [Google Scholar]
  20. F. Brown, W. R. Martin, J. Leppänen, W. Haeck, and B. Cochet. “Reactor Physics Calculations with Monte Carlo.” Technical report, Los Alamos National Laboratory, LA-UR-10-02762 (2010). [Google Scholar]

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