Dear Colleague,
The Physical Review Journal Club returns June 14 with an exclusive conversation with author Michael Woodward (University of Arizona) discussing the recently published Physical Review Fluids paper "Physics-informed machine learning with smoothed particle hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence."
In this paper, Woodward and colleagues approached the major challenge of building efficient, accurate, and generalizable reduced-order models of developed turbulence. Their approach was developing a hierarchy of parameterized reduced Lagrangian models for turbulent flows, and investigate the effects of enforcing physical structure through smoothed particle hydrodynamics (SPH) versus relying on neural networks (NNs) as universal function approximators. Starting from NN parametrizations of a Lagrangian acceleration operator, their hierarchy of models gradually incorporates a weakly compressible and parameterized SPH framework, which enforces physical symmetries, such as Galilean, rotational, and translational invariances.
Woodward will provide a short presentation of their results, followed by a live question-and-answer session where all attendees will have the opportunity to discuss the research, moderated by PRFluids board member Julia Ling (X, The Moonshot factory).
When: June 14, 2023 12:00 p.m. ET (09:00 a.m. PT; 05:00 p.m. BST)
The paper under discussion:
Physics-informed machine learning with smoothed particle hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence
Michael Woodward, Yifeng Tian, Criston Hyett, Chris Fryer, Mikhail Stepanov, Daniel Livescu, and Michael Chertkov
Phys. Rev. Fluids 8, 054602 | The session will be moderated by: Julia Ling (X, The Moonshot factory)
The Physical Review Journal Club events are live, interactive events allowing early-career scientists to discuss the latest published advances in physics with leaders in the field. There will be a short presentation, followed by an interactive session where the participating author will answer your questions. This is a rare opportunity to engage with the authors of important research developments in an "Ask Me Anything" format. During this interactive portion of the Journal Club, participants will be allowed to have their camera and microphone on and are encouraged to join in open discussion with the presenters.
Please feel free to share this information with your institution and colleagues. Registration is free, and a video recording will be distributed to all registrants at the conclusion of the event. | | | |
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