Dear Colleagues,
I am pleased to announce a workshop on Coherent Structures for Turbulence Modeling, to be held in Santa Fe, NM, USA, November 20-21, 2024, an easy plane flight to the APS DFD meeting in Salt Lake City the following week. The goal of the workshop is to bring together researchers from the coherent structures and turbulence modeling communities to spark innovation on how advances in our understanding of coherent structures can inform and improve predictive modeling of turbulence.
The workshop is sponsored by the Center for Non-Linear Studies at the Los Alamos National Laboratory. We welcome both those looking to present and those interested in coming to be part of the conversation. Details and registration information are available on our website.
In the late 80s and early 90s, with the growth of LES and increased interest in coherent structure identification, including Q criterion and POD methods, there was a general anticipation that turbulent coherent structures would play a key role in modeling and prediction. With certain very specific exceptions, that promise never materialized, the mathematics of coherent structures has not been incorporated in modeling, and the modeling and coherent structures communities have largely diverged. Now, thirty years later, with important advances on both sides, including the discovery of invariant solutions of the Navier-Stokes equations capturing aspects of coherent structures, perhaps it is time to revisit the connection between modeling and coherent structures.
This conference is intended to bring together experts and interested parties from both communities to examine the following questions:
· What are the implications of our current understanding of coherent structures for modeling turbulence?
· Can coherent structures be incorporated into turbulence modeling in a mathematical way?
· Might our understanding of coherent structures change what we ask our models to predict?
Data-driven techniques and ML may (or may not) be an important tool as part of this, but will not be a primary focus of this conference.
On behalf of the Organizing Committee:
Dennice Gayme (JHU)
Yongyun Hwang (Imperial College)
Daniel Israel, Chair (LANL)
Daniel Livescu (LANL)
Svetlana Poroseva (UNM)
Tobias Schneider (Swiss Federal Institute of Technology Lausanne)
GS Sidharth (Iowa State University)
Kunihiko Taira (UCLA)
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Daniel Israel
Los Alamos National Laboratory
Santa Fe NM
(505)665-5664
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