Resources

Access all CORTEX publications on Zenodo here.

  • PAPER: Hursin M., Zoia A., Rouchon A., Brighenti A., Zmijarevic I., Santandrea S., Vinai P., Mylonakis A., Yi H., Demazière C., Lamirand C., Ambrozic K., Yamamoto T., Hübner S., Knospe A., Lange C., Yum S., Macian R., Vidal A., Ginestar D. and Verdú G., Modeling noise experiments performed at AKR-2 and CROCUS zero-power reactors. Annals of Nuclear Energy, 194, 110066 (2023) – download – ZenodoDOI
  • PAPER: Demazière C., Sanchez-Espinoza V. H. and Zentner I., Advanced numerical simulation and modeling for reactor safety – contributions from the CORTEX, McSAFER, and METIS projects. EPJ Nuclear Science and Technology, 8, 29, 2022. – download – ZenodoDOI
  • PAPER: Vinai P., Yi H., Demazière C., Rouchon A., Zoia A., Vidal-Ferràndiz A., Carreño A., Ginestar D. and Verdú G., On the simulation of neutron noise induced by vibrations of fuel pins in a fuel assembly. Annals of Nuclear Energy, 181, 109521 (2023). – download – ZenodoDOI
  • PAPER: Ambrožič K., Lamirand V., and Pautz A., Characterization of High Harmonic Frequencies in Reactor Noise Experiments Within the CORTEX Project. IEEE Transactions on Nuclear Science, 69 (4), pp. 825-831 (2022). – download – ZenodoDOI
  • PAPER: Papaoikonomou A., Wingate J., Verma V., Durrant A., Ioannou G., Papagiannis T., Yu M., Alexandridis G., Dokhane A., Leontidis G., Kollias S., Stafylopatis A., Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements, Annals of Nuclear Energy, 178, 109373 (2022). – download – ZenodoDOI
  • PRESENTATION: Herb J., Recommendations for core monitoring to enhance the detection and discrimination of anomalies by neutron noise measurements. Kerntechnik 2022, Leipzig, Germany, June 21-22, 2022 (2022). – download – Zenodo
  • PAPER: Herb, J., Bläsius, C., Demazière, C., Stulik, P., Machek, J., Recommendations for core monitoring to enhance the detection and discrimination of anomalies by neutron noise measurements, Proceedings of Kerntechnik 2022, Leipzig, Germany. – download ZenodoKerntechnik 2022 Proceedings
  • PAPER: Herb, J., Périn, Y., Yum, S., Mylonakis, A., Demazière, C., Vinai, P., Yu, M., Wingate, J., Hursin, M., Sensitivity analysis in core diagnostics, Annals of Nuclear Energy, 178, 109350 (2022) – download – ZenodoDOI
  • PAPER: Kollias S., Yu M., Wingate J., Durrant A., Leontidis G., Alexandridis G., Stafylopatis A., Mylonakis A., Vinai P., and Demazière C., Machine learning for analysis of real nuclear plant data in the frequency domain. Annals of Nuclear Energy, 177, 109293 (2022). – download – Zenodo- DOI
  • PAPER: Vidal-Ferràndiz A., Ginestar D., Carreño A., Verdú G., Dokhane A., Verma V., Perin Y., Herb J., Mylonakis A., Demazière C., and Vinai P., Modelling and simulation of reactor neutron noise induced by mechanical vibrations. Annals of Nuclear Energy, 177, 109300 (2022). – download – Zenodo- DOI
  • PRESENTATION: Demazière C., Advanced numerical simulation and modelling for reactor safety – Contributions from the CORTEX, McSAFER and METIS projects. 10th European Commission Conference on EURATOM Research and Training in Safety of Reactor Systems (FISA 2022), Lyon, France, May 30-June 3, 2022. – download – Zenodo
  • PRESENTATION: Vinai P., Simulations of neutron noise in the research reactor AKR-2: comparison between a discrete ordinates and a diffusion-based method. Int. Conf. Physics of Reactors – Making Virtual a Reality: Advancements in Reactor Physics to Leap Forward Reactor Operation and Deployment (PHYSOR2022), Pittsburgh, PA, USA, May 15-20, 2022. – download – Zenodo
  • PRESENTATION: Demazière C., On the modelling of fuel assembly vibrations using coarse mesh approaches. Int. Conf. Physics of Reactors – Making Virtual a Reality: Advancements in Reactor Physics to Leap Forward Reactor Operation and Deployment (PHYSOR2022), Pittsburgh, PA, USA, May 15-20, 2022. – download – Zenodo
  • PAPER: Vinai P., Mylonakis A., Yi H., and Demazière C., Simulations of neutron noise in the research reactor AKR-2: comparison between a discrete ordinates and a diffusion-based method. Proc. Int. Conf. Physics of Reactors – Making Virtual a Reality: Advancements in Reactor Physics to Leap Forward Reactor Operation and Deployment (PHYSOR2022), Pittsburgh, PA, USA, May 15-20, 2022, American Nuclear Society (2022). – download – ZenodoDOI
  • PAPER: Demazière C., On the modelling of fuel assembly vibrations using coarse mesh approaches. Pittsburgh, PA, USA, May 15-20, 2022, American Nuclear Society (2022). – download – ZenodoDOI
  • PAPER: Demazière C., Rouchon A., and Zoia A., Understanding the neutron noise induced by fuel assembly vibrations in linear theory. Annals of Nuclear Energy, 175, 109169 (2022). – download – ZenodoDOI
  • PAPER: Kiss S., and Lipcsei S., Analysis and enhancements of the coolant velocity estimation method in PWR core. Annals of Nuclear Energy, 174, 109146 (2022). – download – ZenodoDOI
  • PAPER: Yum S., Hursin M., Vasiliev A., Vinai P., Mylonakis A.G., Demazière C., and Macián-Juan R., Uncertainty analyses of neutron noise simulation in a Zero-Power Reactor. Annals of Nuclear Energy, 174, 109157 (2022). – download – ZenodoDOI
  • PAPER: Pantera L., Stulik P., Vidal-Ferràndiz A., Carreño A., Ginestar D., Ioannou G., Tasakos T., Alexandridis G., and Stafylopatis A., Localizing perturbations in Pressurized Water Reactors using one-dimensional deep convolutional neural networks. Sensors, 22 (1), 113 (2022). – download – ZenodoDOI
  • PAPER: BRIGHENTI A., SANTANDREA S., ZMIJAREVIC I., and STANKOVSKI Z., Development and validation of a time-dependent deterministic model for neutron noise on CROCUS experimental measurements. Those preprints were published in a revised form in one single publication in Annals of Nuclear Energy, 165, 108753 (2022). – download preprint 1 – download preprint 2Zenodo preprint 1Zenodo preprint 2DOI
  • PAPER: Demazière C., Combining simulations and machine learning for neutron noise-based core diagnostics. Proc. Tech. Meeting on Artificial Intelligence for Nuclear Technology and Applications (AI4Atoms), hybrid, Vienna, Austria, October 25-29, 2021, International Atomic Energy Agency (2021) – downloadZenodo
  • PRESENTATION: Demazière C., Combining simulations and machine learning for neutron noise-based core diagnostics. Tech. Meeting on Artificial Intelligence for Nuclear Technology and Applications (AI4Atoms), hybrid, Vienna, Austria, October 25-29, 2021 – downloadZenodo
  • PRESENTATION: Alexandridis G., Feature extraction and identification techniques for the alignment of perturbation simulations with power plant measurements. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), online, October 3-7, 2021. – downloadZenodo
  • PRESENTATION: Durrant A., Detection and localisation of multiple in-core perturbations with neutron noise-based self-supervised domain adaptation. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), online, October 3-7, 2021. – downloadZenodo
  • PRESENTATION: Alexandridis G., Deep learning-based anomaly detection in nuclear reactor cores. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), online, October 3-7, 2021. – downloadZenodo
  • PRESENTATION: Mylonakis A., Comparison of neutron noise solvers based on numerical benchmarks in a 2-D simplified UOX fuel assembly. Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), online, October 3-7, 2021. – downloadZenodo
  • PRESENTATION: Demazière C., Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), online, October 3-7, 2021. – downloadZenodo
  • PAPER: Ioannou G., Tasakos T., Mylonakis A., Alexandridis G., Demazière C., Vinai P., and Stafylopatis A., Feature extraction and identification techniques for the alignment of perturbation simulations with power plant measurements. Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), online, October 3-7, 2021, American Nuclear Society (2021). – downloadZenodo
  • PAPER: Durrant A., Leontidis G., Kollias S., Torres L.A., Montalvo C., Mylonakis A., Demazière C., and Vinai P., Detection and localisation of multiple in-core perturbations with neutron noise-based self-supervised domain adaptation. Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), online, October 3-7, 2021, American Nuclear Society (2021). – downloadZenodo
  • PAPER: Tasakos T., Ioannou G., Verma V., Alexandridis G., Dokhane A., and Stafylopatis A., Deep learning-based anomaly detection in nuclear reactor cores. Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), online, October 3-7, 2021, American Nuclear Society (2021). – downloadZenodo
  • PAPER: Vinai P., Yi H., Mylonakis A., Demazière C., Gasse B., Rouchon A., Zoia A., Vidàl-Ferràndiz A., Ginestar D., Verdú G., and Yamamoto T., Comparison of neutron noise solvers based on numerical benchmarks in a 2-D simplified UOX fuel assembly. Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), online, October 3-7, 2021, American Nuclear Society (2021). – downloadZenodo
  • PAPER: Demazière C., Rouchon A., and Zoia A., Understanding the neutron noise induced by fuel assembly vibrations in linear theory. Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), online, October 3-7, 2021, American Nuclear Society (2021). – downloadZenodo
  • PAPER: Vidal-Ferrandiz A., Carreño A., Ginestar D., and Verdu G., Development of a neutron noise simulator for hexagonal geometries. Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), online, October 3-7, 2021, American Nuclear Society (2021). – downloadZenodo
  • PAPER: Yi H., Vinai P., and Demazière C., On the simulation of neutron noise using a discrete ordinates method. Annals of Nuclear Energy, 164, 108570 (2021). – downloadZenodoDOI
  • PAPER: Verma V., Chionis D., Dokhane A., and Ferroukhi H., Studies of reactor noise response to vibrations of reactor internals and thermal-hydraulic fluctuations in PWRs. Annals of Nuclear Energy, 157, 108212 (2021). – downloadZenodoDOI
  • PRESENTATION: Vinai P., Simulation of a neutron noise exercise using a discrete ordinate method. OECD/NEA C5G7-TD Virtual Benchmark Workshop, Online, June 3, 2021. – downloadZenodo
  • PAPER: A. Mylonakis, P. Vinai, and C. Demazière. CORE SIM+: A flexible diffusion-based solver for neutron noise simulations. Annals of Nuclear Energy, 155, 108149 (2021). – downloadZenodoDOI
  • PAPER: A. Zoia, A. Rouchon. B. Gasse, C. Demazière, and P. Vinai. Analysis of the neutron noise induced by fuel assembly vibrations. This preprint was published in a revised form in Annals of Nuclear Energy, 154, 108061 (2021). – downloadZenodoDOI
  • PRESENTATION: Demazière C., Modelling the effect of stationary perturbations onto the neutron flux in nuclear reactors. Sustainable Nuclear Energy Technology Platform (SNETP) Forum 2021, Online, February 2-4, 2021 (2021) (invited). – downloadZenodo
  • PAPER: Torres Delgado L.A., Verma V., Montalvo C., Dokhane A., and García-Berrocal A., Operational modal analysis for characterization of mechanical and thermal–hydraulic fluctuations in simulated neutron noise. This preprint was published in a revised form in Nuclear Engineering and Design, 373, 111017 (2021). – downloadZenodoDOI
  • PRESENTATION: Durrant A., Detection and localisation of multiple in-core perturbations with neutron noise-based self-supervised domain adaptation. Online SAINT workshop on the use of machine learning and artificial intelligence (AI) in radiation science, January 13-14, 2021. –downloadZenodo
  • PRESENTATION: Alexandridis G., Machine learning techniques for anomaly detection and for the alignment of perturbation simulations with power plant measurements. Online SAINT workshop on the use of machine learning and artificial intelligence (AI) in radiation science, January 13-14, 2021. –downloadZenodo
  • PAPER: Ambrozic K., Lamirand V., Hübner S., Hursin M., Rais A., Pakari O., Laureau A., Frajtag P., Fiorina C., and Pautz A., Noise analysis techniques of in-core modulation experiments for the European project CORTEX. Proc. 29th Int. Conf. Nuclear Energy for New Europe (NENE2020), Portoroz, Slovenia, September 7-10, 2020 (2020). – downloadZenodo
  • PAPER: Tambouratzis T., Pantera L., and Stulik P., A study on the minimum requirements for the on-line, efficient and robust validation of neutron detector operation and monitoring of neutron noise signals using harmony theory networks. Computer Science and Information Technology (CSIT), 10, No. 11 (2020). – downloadZenodoDOI
  • PAPER: Tambouratzis T., Problem decomposition and information minimization for the global, concurrent, on-line validation of neutron noise signals and neutron detector operation. International Journal of Artificial Intelligence and Applications (IJAIA), 11, No. 5/6 (2020). – downloadZenodoDOI
  • PRESENTATION: Caliva F., Anomaly detection in nuclear reactors using deep learning. IAEA Consultancy Meeting on Machine Learning for Nuclear Data, online, December 8-11, 2020. –downloadZenodo
  • PRESENTATION: Demazière C., “Listening” to neutron noise – or how to diagnose nuclear reactor systems using the inherent fluctuations in neutron density. Innovatome webinar on “Le parc en exploitation: comment innover pour optimiser la maintenance et améliorer la sûreté?”, online event organized by SFEN Jeune Génération, November 19, 2020. –downloadZenodo
  • PAPER: Vidal-Ferràndiz A., Carreño A., Ginestar D., Demazière C., and Verdú G., Neutronic simulation of fuel assembly vibrations in a nuclear reactor. This preprint was published in a revised form in Nuclear Science and Engineering, 194, 1067-1078 (2020) –downloadZenodoDOI
  • PAPER: Demazière C., Using active learning in hybrid learning environments. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Demazière C., Tatidis A., and Vinai P., Monte Carlo-based dynamic calculations of stationary perturbations. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Demazière C., Mylonakis A., Vinai P., Durrant A., De Sousa Ribeiro F., Wingate J., Leontidis G., and Kollias S., Neutron noise-based anomaly classification and localization using machine learning. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Hübner S., Knospe A., Viebach M., Lange C., and Hurtado A., Experimental determination of the zero power transfer function of the AKR-2. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Lamirand V., Rais A., Pakari O., Hursin M., Laureau A., Pohlus J., Paquee U., Pohl C., Hübner S., Lange C., Frajtag P., Godat D., Perret G., Fiorina C., and Pautz A., Analysis of the first COLIBRI fuel rods oscillation campaign in the CROCUS reactor for the European project CORTEX. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Mylonakis A. G., Demazière C., Vinai P., Lamirand V., Rais A., Pakari O., Frajtag P., Godat D., Hursin M., Perret G., Laureau A., Fiorina C., and Pautz A., CORE SIM+ simulations of COLIBRI fuel rods oscillation experiments and comparison with measurements. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Rouchon A., Vadée-Le Brun M., and Zoia A., Analysis and comparison of APOLLO3® and TRIPOLI-4® neutron noise solvers. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Torres L.A., Chionis D., Montalvo C., Dokhane A., and García-Berrocal A., Neutron noise spectral features of simulated mechanical and thermal-hydraulic perturbations in a PWR core. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Verma V., Chionis D., Dokhane A., and Ferroukhi H., Modelling and analysis of fuel assembly vibrational modes in PWRs using SIMULATE-3K. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Vidal-Ferràndiz A., Ginestar D., Carreño A., Verdú G., and Demazière C., A finite element method for neutron noise analysis in hexagonal reactors. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Yi H., Vinai P., and Demazière C., Acceleration of a 2-dimensional, 2-energy group neutron noise solver based on a discrete ordinates method in the frequency domain. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Ioannou G., Tagaris T., Alexandridis G., and Stafylopatis A., Intelligent techniques for anomaly detection in nuclear reactors. Proc. Int. Conf. Physics of Reactors – Transition to a Scalable Nuclear Future (PHYSOR2020), Cambridge, United Kingdom, March 29-April 2, 2020 (2020) – downloadZenodo
  • PAPER: Demazière C., Sanchez-Espinoza V. H., and Chanaron B., Advanced numerical simulation and modelling for reactor safety − contributions from the CORTEX, HPMC, McSAFE and NURESAFE projects. European Physics Journal Nuclear Sciences and Technologies, 6, 42 (2020). – download – ZenodoDOI
  • THESIS: Yi H., A neutron noise solver based on a discrete ordinates method. Licentiate thesis, Chalmers report CTH-NT-341, Chalmers University of Technology, Gothenburg, Sweden (2020) – download – ZenodoDOI
  • PAPER: Mylonakis A., Vinai P., and Demazière C., Numerical solution of two-energy-group neutron noise diffusion problems with fine spatial meshes. This preprint was published in a revised form in Annals of Nuclear Energy, 140, 107093 (2020) – download – Zenodo – DOI
  • PAPER: Gammichia A., Santandrea S., Zmijarevic I., Sanchez R., Stankosvki Z., Dulla S., and Mosca P., A MOC-based neutron kinetics model for noise analysis. This preprint was published in a revised form in Annals of Nuclear Energy, 137, 107070 (2020) – download – ZenodoDOI
  • PAPER: Lamirand V., Rais A., Hübner S., Lange C., Pohlus J., Paquee U., Pohl C., Pakari O., Frajtag P., Godat D., Hursin M., Laureau A., Perret G., Fiorina C. and Pautz A., Neutron noise experiments in the AKR-2 and CROCUS reactors for the European project CORTEX. EPJ Web of Conferences, 225, 04023 (2020) – download – Zenodo – DOI
  • PAPER: Lamirand V., Frajtag P., Godat D., Pakari O., Laureau A., Rais A., Hursin M., Perret G., Fiorina C. and Pautz A., The COLIBRI experimental program in the CROCUS reactor: characterization of the fuel rods oscillator. EPJ Web of Conferences, 225, 04020 (2020) – downloadZenodoDOI
  • PAPER: Vidal-Ferràndiz A., Carreño A., Ginestar D., Demazière C., and Verdú G., A time and frequency domain analysis of the effect of vibrating fuel assemblies on the neutron noise. This preprint was published in a revised form in Annals of Nuclear Energy, 137, 107076 (2020) – download – Zenodo – DOI
  • PAPER: Demazière C., Using active learning in hybrid learning environments. Conference on Teaching and Learning (Konferens om Undervisning och Lärande – KUL2020), Chalmers University of Technology, Gothenburg, Sweden, January 10, 2020 (2020) – downloadZenodo
  • PRESENTATION: Demazière C., Using active learning in hybrid learning environments. Conference on Teaching and Learning (Konferens om Undervisning och Lärande – KUL2020), Chalmers University of Technology, Gothenburg, Sweden, January 10, 2020 – downloadZenodo
  • PAPER: Durrant A., Leontidis G., and Kollias S., 3D convolutional and recurrent neural networks for reactor perturbation unfolding and anomaly detection. European Physics Journal Nuclear Sciences and Technologies, 5, 20 (2019) – download Zenodo –  DOI
  • PRESENTATION:  Demazière C., Assessment of the neutron noise induced by stationary fuel assembly vibrations in a Light Water Reactor. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, August, 25-29, 2019 – download – Zenodo
  • PRESENTATION:  Verdú G., Neutronic simulation of fuel assembly vibrations in a nuclear reactor. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, August, 25-29, 2019 – download – Zenodo
  • PRESENTATION: Vinai P., Towards a solver based on a discrete ordinate method for reactor neutron noise simulations in the frequency domain. 26th International Conference on Transport Theory (ICTT-26), Paris, France, September 23-27, 2019 – downloadZenodo
  • PAPER: Yi H., Vinai P., and Demazière C., Towards a solver based on a discrete ordinate method for reactor neutron noise simulations in the frequency domain. Proc. 26th International Conference on Transport Theory (ICTT-26), Paris, France, September 23-27, 2019 – downloadZenodo
  • PAPER: Tatiana Tambouratzis T., Giannatsis J., Kyriazis A., and Siotropos P., Applying the Computational Intelligence Paradigm to Nuclear Power Plant Operation: A Review (1990-2015). International Journal of Energy Optimization and Engineering, 9 (1), 27-109 (2020) – download – ZenodoDOI
  • PAPER: Mylonakis A., Vinai P., and Demazière C., Neutron noise modelling for nuclear reactor diagnostics. Proc. 27th Annual Symposium of the Hellenic Nuclear Physics Society (HNPS2018), Athens, Greece, June 8-9, 2018 (2019) – downloadZenodo – DOI
  • PAPER: Zmijarevic I., Tontayeva M., Tomatis D., and Stankovski Z., Detailed neutronic modelling of the CROCUS research reactor using APOLLO3® transport code. Proc. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, August, 25-29, 2019 (2019) – downloadZenodo – DOI
  • PAPER: Yi H., Vinai V., and Demazière C., A discrete ordinates solver with diffusion synthetic acceleration for simulations of 2-D and 2-energy group neutron noise problems. Proc. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, August, 25-29, 2019 (2019) – downloadZenodo
  • PAPER: Viebach M., Lange C., Kliem S., Demazière C., Rohde U., Hennig D. and Hurtado A., A comparison between time domain and frequency domain calculations of stationary neutron fluctuations. Proc. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, August, 25-29, 2019 (2019) – downloadZenodo
  • PAPER: Vidal-Ferràndiz A., Carreño A., Ginestar D., Demazière C., and Verdú G., Neutronic simulation of fuel assembly vibrations in a nuclear reactor. Proc. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, Au-gust, 25-29, 2019 (2019) – downloadZenodo – DOI
  • PAPER: Verma V., Demazière C., Vinai P., Ricciardi G., and Jacqmin R., Assessment of the neutron noise induced by stationary fuel assembly vibrations in a Light Water Reactor. Proc. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, August, 25-29, 2019 (2019) – downloadZenodo
  • PAPER: Rouchon A., Jarrah W., and Zoia A., The new neutron noise solver of the Monte Carlo code TRIPOLI-4®. Proc. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, August, 25-29, 2019 (2019) – downloadZenodo
  • PAPER: Rais A., Lamirand V., Pakari O., Laureau A., Pohlus J., Pohl C., Hübner S., Hursin M., Demazière C., and Pautz A., Towards the validation of neutron noise simulators: Qualification of data acquisition systems. Proc. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, August, 25-29, 2019 (2019) – downloadZenodo
  • PAPER: Mylonakis A., Vinai P., and Demazière C., Two-level multigrid preconditioning of a neutron noise diffusion solver. Proc. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, August, 25-29, 2019 (2019) – downloadZenodo
  • PAPER: Mylonakis A., Yi H., Vinai P., and Demazière C., Neutron noise simulations in a heterogeneous system: A comparison between a diffusion-based and a discrete ordinates solver. Proc. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, August, 25-29, 2019 (2019) – downloadZenodo
  • PAPER: Gammicchia A., Santandrea S., Zmijarevic I., Stankovski Z., and Dulla S., Neutron kinetics equations in APOLLO3® code for application to noise problems. Proc. Int. Conf. Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), Portland, OR, USA, August, 25-29, 2019 (2019) – downloadZenodo
  • PRESENTATION: Tagaris T., Putting together wavelet-based scaleograms and convolutional neural networks for anomaly detection in nuclear reactors. 3rd International Conference on Advances in Artificial Intelligence (ICAAI2019), Istanbul, Turkey, October 26-28, 2019 (2019) – download – Zenodo
  • POSTER: Tagaris T., Ioannou G., Sdraka M., Alexandridis G., and Stafylopatis A., Putting together wavelet-based scaleograms and convolutional neural networks for anomaly detection in nuclear reactors. 3rd International Conference on Advances in Artificial Intelligence (ICAAI2019), Istanbul, Turkey, October 26-28, 2019 (2019) – downloadZenodo
  • PAPER: Tagaris T., Ioannou G., Sdraka M., Alexandridis G., and Stafylopatis A., Putting together wavelet-based scaleograms and convolutional neural networks for anomaly detection in nuclear reactors. Proc. 3rd International Conference on Advances in Artificial Intelligence (ICAAI2019), Istanbul, Turkey, October 26-28, 2019 (2019) – download – ZenodoDOI
  • PRESENTATION: Pantera L., Présentation du Projet européen CORTEX, ANCRE (Alliance Nationale de Coordination de la Recherche pour l’Energie) & PTC-ID (Programme Transverse de Compétences « Instrumentation et Détection » du CEA) Seminar “Nouvelles Technologies d’Instrumentation pour l’Energie Nucléaire“, CEA Cadarache, Saint-Paul-lez-Durance, France, November 13-14, 2019 – downloadZenodo
  • PRESENTATION:  Lamirand V., The COLIBRI programme in CROCUS: characterisation of the fuel rods oscillator, International conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA 2019), Portorož, Slovenia, June 17-21, 2019 – downloadZenodo
  • PRESENTATION:  Lamirand V., Neutron noise experiments in the AKR-2 and CROCUS reactors for the CORTEX European project, International conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA 2019), Portorož, Slovenia, June 17-21, 2019 – downloadZenodo
  • POSTER: Durrant A., Leontidis G., and Kollias S., 3D convolutional and recurrent neural networks for reactor perturbation unfolding and anomaly detection. Proc. 9th European Commission Conferences on EURATOM Research and Training in Safety of Reactor Systems and Radioactive Waste Management (FISA 2019 – Euradwaste’ 19), Pitesti, Romania, June 4-7, 2019 (2019) – downloadZenodo
  • POSTER: Yi H., Vinai P. and Demazière C., A frequency-domain reactor neutron noise simulator based on a discrete ordinates method. Proc. 9th European Commission Conferences on EURATOM Research and Training in Safety of Reactor Systems and Radioactive Waste Management (FISA 2019 – Euradwaste’ 19), Pitesti, Romania, June 4-7, 2019 (2019) – download – Zenodo
  • POSTER: Demazière C., Overview of the CORTEX project. Proc. 9th European Commission Conferences on EURATOM Research and Training in Safety of Reactor Systems and Radioactive Waste Management (FISA 2019 – Euradwaste’ 19), Pitesti, Romania, June 4-7, 2019 (2019) – download–  Zenodo
  • POSTER: Carreño A., Vidal-Ferràndiz A., Ginestar D., and Verdú G., Efficient simulation of fuel assembly vibrations in a nuclear reactor in time-domain. Proc. 9th European Commission Conferences on EURATOM Research and Training in Safety of Reactor Systems and Radioactive Waste Management (FISA 2019 – Euradwaste’ 19), Pitesti, Romania, June 4-7, 2019 (2019) – download Zenodo
  • PRESENTATION: Demazière C., Advanced numerical simulation and modelling for reactor safety – Contributions from the CORTEX, HPMC, McSAFE and NURESAFE projects. 9th European Commission Conferences on EURATOM Research and Training in Safety of Reactor Systems and Radioactive Waste Management (FISA 2019 – Euradwaste’ 19), Pitesti, Romania, June 4-7, 2019 (2019) (invited) – downloadZenodo
  • PAPER: Demazière C., Sanchez-Espinoza V. H., and Chanaron B., Advanced numerical simulation and modelling for reactor safety – Contributions from the CORTEX, HPMC, McSAFE and NURESAFE projects. Proc. 9th European Commission Conferences on EURATOM Research and Training in Safety of Reactor Systems and Radioactive Waste Management (FISA 2019 – Euradwaste’ 19), Pitesti, Romania, June 4-7, 2019 (2019) (invited) – downloadZenodoDOI
  • PAPER: Tambouratzis T., Chionis D. and Dokhane A., General regression neural networks for the concurrent, timely and reliable identification of detector malfunctions and/or nuclear reactor deviations from steady-state operation. IEEE Symposium Series on Computational Intelligence (SSCI 2018), Bengaluru, India, November 18 – 21, 2018 – download – ZenodoDOI
  • PRESENTATION: Demazière C., Anomaly detection in operating nuclear reactors – Overview of the recent advances of the CORTEX project, 50th Annual Meeting on Nuclear Technology (AMNT 2019), Berlin, Germany, May 7-8, 2019 (invited) – downloadZenodo
  • PAPER: Olmo-Juan N., Demazière C., Barrachina T., Miró R., and Verdú G., PARCS vs CORE SIM neutron noise simulations. Preprint (2019). This preprint was published in a revised form in Progress in Nuclear Energy, 115, 169-180 (2019) – download ZenodoDOI
  • PAPER: Torres L.A., Montalvo C ., García-Berrocal A., Chionis D., Dokhane A., Analysis of simulated signals from neutron detectors in PWR reactors when mechanical and thermohydraulic perturbations are applied. Proc. 44th Annual Meeting of the Spanish Nuclear Society, Ávila, Castilla y León, Spain, September 26 – 28, 2018 (2018) – download  – Zenodo
  • PRESENTATION: Olmo-Juan N., Estudio comparativo del ruido neutrónico mediante el uso del código neutrónico PARCS y del simulador de ruido neutrónico CORE SIM. 44th Annual Meeting of the Spanish Nuclear Society, Ávila, Castilla y León, Spain, September 26 – 28, 2018 – download – Zenodo
  • PAPER: Olmo-Juan N., Barrachina T., Miró R., Verdú G., and Demazière C., Estudio comparativo del ruido neutrónico mediante el uso del código neutrónico PARCS y del simulador de ruido neutrónico CORE SIM. Proc. 44th Annual Meeting of the Spanish Nuclear Society, Ávila, Castilla y León, Spain, September 26 – 28, 2018 (2018) – download – Zenodo
  • PAPER: Vidal-Ferràndiz A., Ginestar D., Carreño A., and Verdú G., Preliminary study of fuel assembly vibrations in a nuclear reactor. Proc. XXth Edition of the Mathematical Modelling Conference Series at the Institute for Multidisciplinary Mathematics on “Mathematical modelling in engineering and human behaviour – 2018”, Valencia, Spain, July 16 – 18, 2018 (2018) – download – Zenodo
  • PRESENTATION: De Sousa Ribeiro F. and Calivà F, Towards a deep unified framework for nuclear reactor perturbation analysis. IEEE Symposium Series on Computational Intelligence (SSCI 2018), Bengaluru, India, November 18 – 21, 2018 – download – Zenodo
  • PAPER: De Sousa Ribeiro F., Calivà F., Chionis D., Dokhane A., Mylonakis A., Demazière C., Leontidis G., and Kollias S., Towards a deep unified framework for nuclear reactor perturbation analysis. Proc. IEEE Symposium Series on Computational Intelligence (SSCI 2018), Bengaluru, India, November 18 – 21, 2018 (2018) – downloadZenodo – DOI
  • PRESENTATION: Demazière C., Power reactor noise: from the modelling of noise sources to their effect onto the neutron flux, Workshop “Mathématiques pour la neutronique”, Jacques-Louis Lions Laboratory, Pierre and Marie Curie University (UPMC)/Sorbonne University, Paris, France, December 7, 2018 (invited) – downloadZenodo
  • PRESENTATION: Hübner S., Generation of high precise data for the verification of computational tools for reactor signal analysis. Seminar at Kompetenzzentrum Ost für Kerntechnik (KompOst) – East German Centre of Competence in Nuclear Technology, Hochschule Zittau/Görlitz, Zittau, Germany, December 13, 2018 – downloadZenodo
  • PAPER: Torres L.A., Chionis D., Montalvo C., Dokhane A., García-Berrocal A., Neutron noise analysis of simulated mechanical and thermal-hydraulic perturbations in a PWR core. Preprint (2018). This preprint was published in a revised form in Annals of Nuclear Energy, 126, pp. 121-252 (2019) – download – ZenodoDOI
  • PRESENTATION: Calivà F., A deep learning approach to anomaly detection in nuclear reactors. 2018 Int. Joint Conf. Neural Networks (IJCNN), Rio de Janeiro, Brazil, July 8-13, 2018 – downloadZenodo
  • PAPER: Calivà F., De Sousa Ribeiro F., Mylonakis A., Demazière C., Vinai P., Leontidis G., and Kollias S., A deep learning approach to anomaly detection in nuclear reactors. Proc. 2018 Int. Joint Conf. Neural Networks (IJCNN), Rio de Janeiro, Brazil, July 8-13, 2018 (2018) – downloadZenodoDOI
  • PAPER: Demazière C., Vinai P., Hursin M., Kollias S., and Herb J., Overview of the CORTEX project, Proc. Int. Conf. Physics of Reactors – Reactor Physics paving the way towards more efficient systems (PHYSOR2018), Cancun, Mexico, April 22-26, 2018 (2018) – downloadZenodo
  • PAPER: Olmo-Juan N., Demazière C., Barrachina T., Miró R., and Verdú G., Comparative study of neutron noise calculations using the neutron kinetics code PARCS and the neutron noise simulator CORE SIM, Proc. Int. Conf. Physics of Reactors – Reactor Physics paving the way towards more efficient systems (PHYSOR2018), Cancun, Mexico, April 22-26, 2018 (2018) – downloadZenodo
  • PAPER: Demazière C., Vinai P., Hursin M., Kollias S. and Herb J., Noise-based core monitoring and diagnostics – Overview of the CORTEX project, Proc. 3rd DAE-BRNS Symposium on Advances in Reactor Physics (ARP-2017), Mumbai, India, December 6-9, 2017 (2017) (invited paper) – downloadZenodoDOI 
  • PRESENTATION: Demazière C., Noise-based core monitoring and diagnostics – Overview of the CORTEX project, 3rd DAE-BRNS Symposium on Advances in Reactor Physics (ARP-2017), Mumbai, India, December 6-9, 2017 (invited speaker) – download Zenodo 
  • PRESENTATION: Demazière C., Status of the Horizon 2020 project on COre monitoring Techniques and EXperimental validation and demonstration (CORTEX), 2nd edition of Nuclear Days and 7th NUGENIA Annual Forum, Prague, Czech Republic, April 10-12, 2018 – downloadZenodo

Public deliverables:

  • CORTEX D1.1: Methodology for uncertainty and sensitivity analysis – download
  • CORTEX D1.2: Modelling of FSIs for reactor vessel internals – download
  • CORTEX D1.3: Modelling of the neutron flux response to vibrating fuel assemblies – download
  • CORTEX D1.4: Development and comparison of high-order solvers for reactor noise analysis – download
  • CORTEX D2.1: Experimental report of the 1st campaign at AKR-2 and CROCUS – download
  • CORTEX D2.2: Experimental report of the 2nd campaign at AKR-2 and CROCUS – download
  • CORTEX D2.3: Report on the development of fibre-based scintillator – download
  • CORTEX D2.4: Experimental report of the 3rd campaign at AKR-2 and CROCUS – download
  • CORTEX D2.5: Final validation report – download
  • CORTEX D3.1: Description of scenarios for the simulated data – download
  • CORTEX D3.3: Development of advanced signal processing techniques and evaluation results – download
  • CORTEX D3.4: Development of machine learning techniques and evaluation of analysis results – download
  • CORTEX D4.4: Results of the application and demonstration calculations – download
  • CORTEX D4.5: Results of the sensitivity analyses – download
  • CORTEX D4.6: Recommendations for modifications, improvements, additional detectors – download
  • CORTEX D5.1: Website – download
  • CORTEX D5.2: Educational package on reactor neutron noise and diagnostics – download
  • CORTEX D5.3: Series of workshops – download

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