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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.
Alphonius, A., Barbeau, L., Blais, B., Gaboriault, O., Guévremont, O., Lamouche, J., Laurentin, P. J. É., Marquis, O., Münch, P., Oliveira Ferreira, V., Papillon Laroche, H., Patience, P. A., Prieto Saavedra, L., & Vaillant, M. (2025). Lethe 1.0: An open-source parallel high-order computational fluid dynamics software framework for single and multiphase flows. Computer Physics Communications, 109880. External link
Arndt, D., Bangerth, W., Bergbauer, M., Blais, B., Fehling, M., Gassmöller, R., Heister, T., Heltai, L., Kronbichler, M., Maier, M., Münch, P., Scheuerman, S., Turcksin, B., Uzunbajakau, S., Wells, D., & Wichrowski, M. (2025). The deal.II library, version 9.7. Journal of Numerical Mathematics. Restricted access
Arndt, D., Bangerth, W., Blais, B., Fehling, M., Gassmöller, R., Heister, T., Heltai, L., Köcher, U., Kronbichler, M., Maier, M., Münch, P., Pelteret, J.-P., Proell, S., Simon, K., Turcksin, B., Wells, D., & Zhang, J. (2021). The deal.II library, version 9.3. Journal of Numerical Mathematics, 29(3), 171-186. Available
Arndt, D., Bangerth, W., Blais, B., Clevenger, T. C., Fehling, M., Grayver, A. V., Heister, T., Heltai, L., Kronbichler, M., Maier, M., Münch, P., Pelteret, J.-P., Rastak, R., Tomaš, I., Turcksin, B., Wang, Z., & Wells, D. (2020). The deal.II library, version 9.2. Journal of Numerical Mathematics, 28(3), 131-146. Available
Golshan, S., Münch, P., Gassmöller, R., Kronbichler, M., & Blais, B. (2023). Lethe-DEM: an open-source parallel discrete element solver with load balancing. Computational Particle Mechanics, 10, 77-96. Available
Münch, P., Heister, T., Saavedra, L. P., & Kronbichler, M. (2023). Efficient Distributed Matrix-free Multigrid Methods on Locally Refined Meshes for FEM Computations. Acm Transactions on Parallel Computing, 10(1), 1-38. External link
Prieto Saavedra, L., Münch, P., & Blais, B. (2025). A matrix-free stabilized solver for the incompressible Navier-Stokes equations. Journal of Computational Physics, 538, 114186 (24 pages). Restricted access
Prieto Saavedra, L., Archambault, J., Münch, P., & Blais, B. (2025). An implicit large-eddy simulation study of the turbulent Taylor-Couette flow with an inner rotating cylinder. Journal of Turbulence, 15 pages. Restricted access
