U.S.-Japan Workshop on Data Driven Fluid Dynamics

Major Goals: Over the past two decades, the fluid dynamics community has enjoyed the advancement in computational, experimental, and theoretical techniques to analyze a variety of fluid flows. Developments in computational and experimental hardware, numerical algorithms, and unsteady measurement techniques have enabled not only detailed analysis of flow physics but also initiated cross-talks amongst the various disciplines of fluid mechanics. With these powerful toolsets now available, the fluid dynamics community has started to examine complex flows with high levels of unsteadiness, nonlinearity, and multi-scale dynamics. However, there still exist limitations on how modern analysis techniques can be applied to specific fluid dynamics problems. Theoretical and computational approaches are often limited to relatively simple flows at low Reynolds numbers, while practical applications require extension to more complex unsteady and turbulent flows. Extending the current state of the art in flow analysis to higher Reynolds number flows requires tackling high-dimensional physics and the associated big-data from numerical simulations or experimental measurements. Some of the recent innovations in data science may hold the key to address these issues. The aim of this workshop is to gather fluid dynamics and data science experts from their respective areas and discuss their ongoing progress and challenges in emerging analysis techniques, including data science, computational and theoretical fluid dynamics, and advanced experimental diagnostic methods, that can be shared with others to facilitate breakthroughs as a community. This event will stimulate discussions and collaborations between members of the research communities to identify key areas that can make the largest impact and to offer a vehicle to further strengthen research collaborations across the Pacific.