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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.
Use the mouse wheel or scroll gestures to zoom into the graph.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
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.
Peng, W., Yuan, Z., Li, Z., & Wang, J. (2023). Linear attention coupled Fourier neural operator for simulation of three-dimensional turbulence. Physics of Fluids, 35(1), 17 pages. External link
Peng, W., Yuan, Z., & Wang, J. (2022). Attention-enhanced neural network models for turbulence simulation. Physics of Fluids, 34(2), 025111 (17 pages). External link
Li, Z., Peng, W., Yuan, Z., & Wang, J. (2022). Fourier neural operator approach to large eddy simulation of three-dimensional turbulence. Theoretical and Applied Mechanics Letters, 12(6), 100389 (7 pages). External link
Peng, W., Zhang, Y., Laurendeau, É., & Desmarais, M. C. (2022). Learning aerodynamics with neural network. Scientific Reports, 12(1), 6779 (10 pages). External link
Peng, W., Zhang, Y., & Desmarais, M. C. (2022, January). Deep Neural Network for Airfoil Optimization [Paper]. AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum 2022), San Diego, CA, USA. External link
Peng, W., Zhang, Y., & Desmarais, M. C. (2021, January). Spatial convolution neural network for efficient prediction of aerodynamic coefficients [Paper]. AIAA SciTech Forum. External link
Peng, W. (2023). Applications of Deep Learning in Fluid Dynamics [Ph.D. thesis, Polytechnique Montréal]. Restricted access
