US-Japan Workshop on Bridging Fluid Mechanics and Data Science
Abstract
The field of data science has emerged over the recent years as a promising field to analyze, model,and control complex dynamics. As numerical simulations and experimental measurements in fluidmechanics generate large data sets from the multi-scale nonlinear dynamics, the use of data science becomes naturally attractive to solve a number of challenge problems. Moreover, the time-varying complex nature of fluid flows can provide next-level benchmark problems for data science to further advance both fields of research. To facilitate bridging between these two disciplines, thisworkshop aims to provide an opportunity to gather fluid mechanics and data science experts fromthe US and Japan to discuss how the research community can better integrate the two fields and tooffer a chance to establish organic collaborations. This workshop will be held from March 26 to28, 2018 at the Tokyo University of Science, Japan with approximately 40 attendees. Half of theattendees will be from Japan and the rest will be from the US. These groups will be further splitinto balanced representatives of data scientists and fluid mechanicians. The workshop willhighlight two keynote talks discussing the state-of-the-art efforts on extending fluid mechanicswith data science and reserve sufficient time for discussions. The summarized minutes and keydiscussion points from the workshop will be documented and disseminated.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 09, 2018
- Source ID
- FA95501810281
Entities
People
- Kunihiko Taira
Organizations
- Air Force Office of Scientific Research
- Florida State University
- United States Air Force