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Collaboration networkThis 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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Word cloudA 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.
Gheribi, A. E., Phan, A. T., Yang, H., Gallagher, R. C., & Chartrand, P. (2024). The role of the local structure on the thermal transport within dissociated and complexed Molten salt mixtures. Journal of Molecular Liquids, 408, 125239 (15 pages). External link
Yang, H. (2025). Development of a Thermal Conductivity Model for Molten Salt Solutions [Ph.D. thesis, Polytechnique Montréal]. Available
Yang, H., Thu Phan, A., Gheribi, A. E., & Chartrand, P. (2025). Extending the kinetic theory-based thermal conductivity model to reciprocal molten salt mixtures with short-range ordering via the Modified Quasi-chemical Model in the Quadruplet Approximation. Solar Energy Materials and Solar Cells, 292, 113724 (16 pages). Available
Yang, H., Gallagher, R., Chartrand, P., & Gheribi, A. E. (2023). Development of a molten salt thermal conductivity model and database for advanced energy systems. Solar Energy, 256, 158-178. External link
Yang, H., Gallagher, R. C., Phan, A.-T., Chartrand, P., & Gheribi, A. E. (2023). A predictive approach for the compositional and temperature representation of thermal conductivity in multicomponent molten salt systems for advanced energy applications. Materials Today Energy, 38, 23 pages. External link
