Antonios Mylonakis

Showing 22 publications

2023
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Modeling noise experiments performed at AKR-2 and CROCUS zero-power reactors

Mathieu Hursin, Andrea Zoia, Amélie Rouchon et al
Annals of Nuclear Energy. Vol. 194
Journal article
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2022
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Sensitivity analysis in core diagnostics

Joachim Herb, Y. Perin, S. Yum et al
Annals of Nuclear Energy. Vol. 178
Journal article
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2022
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Modelling and simulations of reactor neutron noise induced by mechanical vibrations

Antoni Vidal, Damian Ginestar, A. Carreño et al
Annals of Nuclear Energy. Vol. 177
Journal article
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2022

Simulations of neutron noise in the research reactor AKR-2: comparison between a discrete ordinates and a diffusion-based method

Paolo Vinai, Antonios Mylonakis, Huaiqian Yi et al
Proceedings of the International Conference on Physics of Reactors, PHYSOR 2022, p. 957-966
Paper in proceeding
2022
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Machine learning for analysis of real nuclear plant data in the frequency domain

Stefanos Kollias, Miao Yu, J. Wingate et al
Annals of Nuclear Energy. Vol. 177
Journal article
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2022
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Uncertainty analyses of neutron noise simulations in a Zero-Power reactor

Soobeen Yum, Mathieu Hursin, Alexander Vasiliev et al
Annals of Nuclear Energy. Vol. 174
Journal article
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2022
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Development and test of a novel verification scheme applied to the neutronic modelling of Molten Salt Reactors

Christophe Demaziere, Antonios Mylonakis, Paolo Vinai
Annals of Nuclear Energy. Vol. 167
Journal article
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2021

A finite volume method for the Fermi pencil-beam equation

Antonios Mylonakis, Mohammad Asadzadeh
Proceedings of The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2021)
Paper in proceeding
2021

Comparison of neutron noise solvers based on numerical benchmarks in a 2-D simplified UOX fuel assembly

Paolo Vinai, Huaiqian Yi, Antonios Mylonakis et al
Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021)
Paper in proceeding
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2021

Development and test of a novel neutronic verification scheme for Molten Salt Reactors

Christophe Demaziere, Antonios Mylonakis, Paolo Vinai
Transactions of the American Nuclear Society. Vol. 124 (1), p. 504-507
Paper in proceeding
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2021
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Detection and localisation of multiple in-core perturbations with neutron noise-based self-supervised domain adaptation

A. Durrant, G. Leontidis, S. Kollias et al
Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021)
Paper in proceeding
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2021
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CORE SIM+: A flexible diffusion-based solver for neutron noise simulations

Antonios Mylonakis, Paolo Vinai, Christophe Demaziere
Annals of Nuclear Energy. Vol. 155
Journal article
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2021
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Feature extraction and identification techniques for the alignment of perturbation simulations with power plant measurements

G. Ioannou, T. Tasakos, Antonios Mylonakis et al
Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), p. 2048-2059
Paper in proceeding
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2020
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Neutron noise-based anomaly classification and localization using machine learning

Christophe Demaziere, Antonios Mylonakis, Paolo Vinai et al
International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future, PHYSOR 2020, p. 2913-2921
Paper in proceeding
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2020
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CORE SIM+ simulations of COLIBRI fuel rods oscillation experiments and comparison with measurements

Antonios Mylonakis, Christophe Demaziere, Paolo Vinai et al
International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future, PHYSOR 2020, p. 2930-2938
Paper in proceeding
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2020

Numerical solution of two-energy-group neutron noise diffusion problems with fine spatial meshes

Antonios Mylonakis, Paolo Vinai, Christophe Demaziere
Annals of Nuclear Energy. Vol. 140
Journal article
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2019

Neutron noise simulations in a heterogeneous system: A comparison between a diffusion-based and a discrete ordinates solver

Antonios Mylonakis, Huaiqian Yi, Paolo Vinai et al
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019, p. 439-448
Paper in proceeding
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2019
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Neutron noise modelling for nuclear reactor diagnostics

Antonios Mylonakis, Paolo Vinai, Christophe Demaziere
HNPS Advances in Nuclear Physics. Vol. 26, p. 139-143
Paper in proceeding
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2019

Two-level multigrid preconditioning of a neutron noise diffusion solver

Antonios Mylonakis, Paolo Vinai, Christophe Demaziere
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019, p. 1208-1217
Paper in proceeding
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2018

Towards a deep unified framework for nuclear reactor perturbation analysis

Fabio De Sousa Ribeiro, Francesco Calivá, Dionysios Chionis et al
2018 IEEE Symposium Series on Computational Intelligence (IEEE SSCI), p. 120-127
Paper in proceeding
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2018

A deep learning approach to anomaly detection in nuclear reactors

Francesco Calivá, Fabio De Sousa Ribeiro, Antonios Mylonakis et al
Proceedings of the International Joint Conference on Neural Networks. Vol. 2018-July
Paper in proceeding
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