Fluid Dynamics
This program provides funding for researchers to explore and advance the science of fluid dynamics, focusing on innovative methods and applications that can benefit society and industry.
Description
The Fluid Dynamics program, managed by the National Science Foundation, supports fundamental research aimed at advancing the understanding of fluid dynamics phenomena. This program focuses on gaining insights into fluid behavior through innovative experimental, theoretical, and computational methods. Research supported by the program contributes to the fundamental scientific knowledge base and emphasizes the importance of advancing engineering science with potential societal and industrial impacts.
The program’s key areas of interest include turbulence and transition, bio-fluid physics, non-Newtonian fluid mechanics, bubble dynamics, microfluidics and nanofluidics, wind and ocean energy harvesting, fluid-structure interactions, canonical configurations, artificial intelligence and machine learning applications in fluid dynamics, and instrumentation and flow diagnostics. Research in turbulence and transition explores high Reynolds number flows, boundary layer behavior, and multi-phase turbulent flows. Bio-fluid physics focuses on bio-inspired flows and biological fluid dynamics. Non-Newtonian fluid mechanics supports studies on viscoelastic flows, while bubble dynamics research investigates cavitation and bubble manipulation.
Research in microfluidics and nanofluidics explores flow behavior on micro- and nano-scales. The wind and ocean energy harvesting area focuses on understanding high Reynolds number aerodynamics, air-sea interactions, and rotor performance. Fluid-structure interaction studies address applications across varying Reynolds numbers, including hypersonic applications in collaboration with the Air Force Office of Scientific Research. Canonical configurations encourage experimental studies to develop data sets for validating theoretical and computational models. Artificial intelligence and machine learning research focuses on using advanced algorithms for flow modeling and control. The program also supports developing novel instrumentation and diagnostic tools for fluid measurements.
Proposals submitted to this program should demonstrate novelty or transformative potential in advancing the field of fluid dynamics. Projects are expected to outline their significance for engineering science and project potential impacts on society and industry. The program supports single-investigator and multi-investigator projects, with typical awards covering graduate student support and limited faculty time. Proposals should clearly articulate the intellectual merit and broader impacts of the proposed research, including contributions to education, workforce development, and societal benefit.
Proposals must comply with the NSF Proposal and Award Policies and Procedures Guide if submitted via Research.gov or the NSF Grants.gov Application Guide if submitted through Grants.gov. Submissions are accepted at any time, with special funding mechanisms such as Early-concept Grants for Exploratory Research, Rapid Response Research, and Grant Opportunities for Academic Liaison with Industry available upon prior discussion with the program director. Proposals for supplements and workshops are also accepted, with principal investigators encouraged to consult with the program director beforehand.
The Fluid Dynamics program operates within the Directorate for Engineering and the Division of Chemical, Bioengineering, Environmental, and Transport Systems. Researchers are encouraged to contact program directors Ronald D. Joslin and Fangyu Cao for guidance before submitting a proposal. Additional information, including examples of funded projects and updates, can be accessed through the NSF Fluid Dynamics program webpage.