There is growing interest in using network science and graph theory for analyzing high-dimensional fluid flow problems. The highly nonlinear nature of interactions in fluid flows pose a challenging task of understanding and controlling them. Network science can help in characterizing fluid flow time-series data, provide measures to reveal the relative importance of fluid flow nodes, and enable interaction-based model-reduction for prediction and control of fluid flows.
This seminar series brings together experts from both the fields of network science (and graph theory) and fluid mechanics, who might benefit from applying such techniques to complex fluid flow problems. We are planning to have talks both on the theoretical aspects of network science as well as the applied aspects related to fluid mechanics. This series presents an opportunity to foster collaborations as well as ask questions to the experts on the applicability of their methodologies to fluid flow problems.
When:
1 session every month, on Fridays 9:00 - 10:00 am US Pacific time
Where:
Online - please register below to receive the Zoom link and seminar reminders
Chi-An Yeh, Postdoctoral Scholar, University of California, Los Angeles, USA (Assistant Professor at North Carolina State University, starting July 2021)
"Network broadcast analysis and control of turbulent flows"