Embedded Files
Recent years have seen an explosion in the use of machine learning and data science tools in fluid dynamics. These tools have led to advances in data-driven closures for turbulence models, nonlinear dimension reduction and data-driven time evolution modeling for control applications, and combining velocimetry and machine learning to improve velocity field measurements. In soft-matter dynamics, especially non-Newtonian fluid mechanics, machine learning and data science have begun to aid in development of effective constitutive models for very complex soft materials and efficient representations of complex data sets as arise for example in X-ray scattering measurements of complex-fluid microstructure. In this conference, more than 30 leading researchers have been invited to speak on fluid dynamics, soft matter structure and rheology, weather, climate, nonlinear dynamics, chaos and turbulence, and how they are advanced with new ideas and tools from machine learning and data science. Discussion sessions will enable exploration of broad themes and detailed issues arising from the research presentations.
Host:
Michael D. Graham
Steenbock Professor of Engineering and Harvey D. Spangler Professor
Dept. of Chemical and Biological Engineering, Dept. of Mechanical Engineering
University of Wisconsin-Madison
Dates:
June 3-5, 2024, program is below
Sponsors:
Office of the Secretary of Defense through the Vannevar Bush Faculty Fellowship; Olaf A. Hougen fund of the UW-Madison Department of Chemical and Biological Engineering; Fluid Dynamics and Particulate and Multiphase Processes Programs of the National Science Foundation.
Where:
University of Wisconsin-Madison
330 N. Orchard St. Madison, WI 53715
Room 1255 H.F. DeLuca Forum at the University of Wisconsin Madison
Registration:
Registration for part or all of the conference is free and optional but would be appreciated for planning purposes: please register by May 24 at Registration site
Link to abstract booklet: Fluids_ML_conference_abstracts.pdf
Code of Conduct
Code of Conduct
All participants in this conference will conduct themselves in a professional manner that is welcoming to all participants and free from any form of discrimination, harassment, or retaliation. Participants will treat each other with respect and consideration to create a collegial, inclusive, and professional environment. All participants share responsibility for creating a supportive environment to enable scientific discourse.
Accordingly, all participants will avoid any inappropriate actions or statements based on individual characteristics such as age, race, ethnicity, sexual orientation, gender identity, gender expression, marital status, nationality, political affiliation, ability status or educational background.
All participants will show respect for one another, regardless of discipline, employment or educational status, and organizations for which they work, whether industry, academia, or government.
All participants in this meeting are free to express their scientific views, while also recognizing that such views should be expressed collegially and respectfully in the spirit of advancing knowledge and understanding.
Disruptive or harassing behavior of any kind will not be tolerated. Harassment includes but is not limited to inappropriate or intimidating behavior and language, unwelcome jokes or comments, unwanted touching or attention, offensive images, and stalking.
Violations of this code of conduct policy should be reported to the conference organizer, who will convene an ad hoc committee of senior conference attendees to investigate the report and decide on an appropriate response. Sanctions may range from verbal warning to ejection from the meeting to notifying appropriate authorities.
Page updated
Google Sites
Report abuse