General Fluid Dynamics: Mathematical Methods
ORAL · F10 · ID: 22940
Presentations
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Learning and enforcing physical structure with physics-informed dynamic mode decomposition (piDMD)
ORAL
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Presenters
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Peter J Baddoo
Massachusetts Institute of Technology, MIT
Authors
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Peter J Baddoo
Massachusetts Institute of Technology, MIT
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Benjamin Herrmann
Universidad de Chile
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Beverley J McKeon
Caltech, California Institute of Technology
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Nathan Kutz
University of Washington, Seattle, University of Washington
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Steven L Brunton
University of Washington, University of Washington, Seattle
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Learning fluid dynamics using sparse physics-informed discovery of empirical relations (SPIDER)
ORAL
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Publication: Gurevich, Daniel R., Patrick A. K. Reinbold, and Roman O. Grigoriev, Learning fluid dynamics using sparse physics-informed discovery of empirical relations. arXiv preprint arXiv:2105.00048 (2021). Submitted to PNAS.
Presenters
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Daniel Gurevich
Princeton University
Authors
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Daniel Gurevich
Princeton University
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Patrick K Reinbold
Georgia Institute of Technology
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Roman O Grigoriev
Georgia Institute of Technology
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Learning frame-independent, nonlocal constitutive relations on unstructured meshes with an embedding neural network
ORAL
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Publication: Frame-independent vector-cloud neural network for nonlocal constitutive modeling on arbitrary grids
Presenters
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Xuhui Zhou
virginia tech
Authors
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Xuhui Zhou
virginia tech
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Jiequn Han
Princeton University
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Heng Xiao
Virginia Tech, virginia tech
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Memory effects in fluctuating dynamic density-functional theory: theory and simulations
ORAL
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Publication: Journal of Physics A: Mathematical and Theoretical, Volume 53, Number 44
Presenters
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Miguel A Duran-Olivencia
Imperial College London
Authors
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Miguel A Duran-Olivencia
Imperial College London
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Antonio Russo
Imperial College London
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Petr Yatsyshin
Imperial College London
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Serafim Kalliadasis
Imperial College London
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Analytical calculation of hydrodynamic coefficients of an oscillating horizontal circular cylinder using the bi-polar coordinate
ORAL
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Presenters
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Yeunwoo Cho
Korea Advanced Institute of Science and Technology
Authors
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Yeunwoo Cho
Korea Advanced Institute of Science and Technology
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Wonju Jeon
Korea Advanced Institute of Science and Technology
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Gibbeum Lee
Korea Atomic Energy Research Institute
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Projection-based methods for spectral analysis of data without temporal information
ORAL
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Presenters
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Katherine J Asztalos
Illinois Institute of Technology
Authors
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Katherine J Asztalos
Illinois Institute of Technology
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Abdulrahman Almashjary
Illinois Institute of Technology
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Scott T Dawson
Illinois Institute of Technology
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