Items where Author is "Gayme, Dennice F."
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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.
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Minnick, B. A., Viggiano, B., & Gayme, D. F. (2023, June). Augmented Restricted Nonlinear (ARNL) Model for High Reynolds Number Wall-Turbulence [Paper]. 10th Conference on Interdisciplinary Turbulence Initiative (iTi 2023), Bertinoro, Italy. External link
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Risha, A. C., Lenz, E., Viggiano, B., Bae, H. J., & Gayme, D. F. (2026). Modal triadic interaction informed restricted nonlinear models. [Presentation]. Journal of Physics Conference Series, 3230(1), 012002 (15 pages). Presented at 6th Madrid Turbulence Workshop (MTW 2025), Madrid, Spain. External link
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Viggiano, B., Minnick, B., Zhu, X., & Gayme, D. F. (2024, June). Reduced order model based investigations into the drag reduction breakdown in flow over blade riblets [Paper]. 13th International Symposium on Turbulence and Shear Flow Phenomena (TSFP 2024), Montréal, QC, Canada (6 pages). External link
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Zhu, X., Viggiano, B., Minnick, B., & Gayme, D. F. (2025). Restricted nonlinear simulations of flow over riblets: Characterizing drag reduction and its breakdown. International Journal of Heat and Fluid Flow, 116, 109862 (13 pages). Available