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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Chambon, R., Hébert, A., & Taforeau, J. (2017). Pin power reconstruction : a new capability in the DRAGON5-PARCS neutronic system. International Journal of Nuclear Energy Science and Technology, 11(2), 99-119. External link
Hébert, A., Taforeau, J., & Ingremeau, J.-J. (2020, March). Application of the SPH equivalence technique to the cabri full core in non-fundamental mode [Paper]. International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future (PHYSOR 2020), Cambridge, UK (8 pages). Published in EPJ Web of Conferences, 247. External link
Ingremeau, J.-J., Taforeau, J., Tixier, G., & Hébert, A. (2018, September). Impact of the Samarium depletion chain modeling in a PWR equilibrium cycle using DRAGON and DONJON [Paper]. 4th International Conference on Physics and Technology of Reactors and Applications (PHYTRA 4), Marrakech, Morocco. Unavailable
Liponi, L., Taforeau, J., & Hébert, A. (2017, April). Calculation and Verification of Assembly Discontinuity Factors for the DRAGON/PARCS code sequence [Paper]. International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2017), Jeju, Korea. Unavailable