AN INITIATIVE FOR THE DEVELOPMENT AND APPLICATION OF OPEN-SOURCE MULTI-PHYSICS SIMULATION IN SUPPORT OF R&D AND E&T IN NUCLEAR SCIENCE AND TECHNOLOGY

C Fiorina; P Shriwise; A Dufresne; J Ragusa; K Ivanov; T Valentine; B Lindley; S Kelm; E Shwageraus; S Monti; C Batra; A Pautz; S Lorenzi; P Rubiolo; I Clifford; B Dechenaux

doi:10.1051/epjconf/202124702040

All issues

Volume 247 (2021)

EPJ Web Conf., 247 (2021) 02040

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		02040
Number of page(s)		7
Section		Core Analysis Methods
DOI		https://doi.org/10.1051/epjconf/202124702040
Published online		22 February 2021

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[1] C. Batra, E. Dyck, “IAEA Designates Swiss Ecole Polytechnique Federale de Lausanne as Collaborating Centre,” available at: https://www.iaea.org/newscenter/news/iaea-designates-swiss-ecole-polytechnique-federale-de-lausanne-as-collaborating-centre (2019). [Google Scholar]

[2] EPFL, “EPFL becomes a Collaborating Centre of the IAEA,” available at: https://actu.epfl.ch/news/epfl-becomes-a-collaborating-centre-of-the-iaea/ (2019). [Google Scholar]

[3] International Atomic Energy Agency, Consultants meeting on Development and Validation of an Open-source Platform and Data for Reactor Analysis, 25-27 November 2019, internal meeting report, IAEA, Vienna (2019). [Google Scholar]

[4] S. Sonnenburg et al., “The Need for Open Source Software in Machine Learning,” Journal of Machine Learning Research 8, 2443–2466 (2007). [Google Scholar]

[5] P. K. Romano et al., “OpenMC: A state-of-the-art Monte Carlo code for research and development,” Ann Nucl Energy 82, 90–97 (2015). [Google Scholar]

[6] I. Clifford, “A hybrid coarse and fine mesh solution method for prismatic high temperature gas-cooled reactor thermal-fluid analysis,” PhD Thesis, The Pennsylvania State University (2013). [Google Scholar]

[7] M. Aufiero et al., “Development of an OpenFOAM model for the Molten Salt Fast Reactor transient analysis,” Chemical Engineering Science, 111 390–401 (2014). [Google Scholar]

[8] C. Fiorina et al., “GeN-Foam: A novel OpenFOAM® based multi-physics solver for 2D/3D transient analysis of nuclear reactors,” Nuclear Engineering and Design, 294, 24–37 (2015). [Google Scholar]

[9] E. Cervi et al., “Development of a multiphysics model for the study of fuel compressibility effects in the Molten Salt Fast Reactor,” Chemical Engineering Science, 193, 379 – 393 (2019). [Google Scholar]

[10] A. Scolaro, I. Clifford, C. Fiorina, A. Pautz, “The OFFBEAT multi-dimensional fuel behavior solver,” Nuclear Engineering and Design, 358, Article 110416 (2020). [Google Scholar]

[11] European Commission, “Open Science (Open Access),” available at https://ec.europa.eu/programmes/horizon2020/en/h2020-section/open-science-open-access. [Google Scholar]

[12] GO FAIR initiative, available at: https://www.go-fair.org/ (2019). [Google Scholar]

[13] P. German et al., “Application of multiphysics model order reduction to doppler/neutronic feedback,” EPJ Nuclear Sci. Technol. 5, 17 (2019). [Google Scholar]

[14] M. Brovchenko et al., “Neutronic benchmark of the molten salt fast reactor in the frame of the EVOL and MARS collaborative projects,” EPJ Nuclear Sci. Technol. 5, 2 (2019). [Google Scholar]

[15] M. Tano-Retamales et al. “Progress in modeling solidification in molten salt coolants,” International Journal of Modelling and Simulation in Materials Science and Engineering 5 (2017). [Google Scholar]