CFD: General I
ORAL · A13 · ID: 2663222
Presentations
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Accurate Higher-order Embedded Boundary Methods without Small Cell Issues
ORAL
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Presenters
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Hans Johansen
- Lawrence Berkeley National Laboratory
Authors
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Hans Johansen
- Lawrence Berkeley National Laboratory
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Nate Overton-Katz
- LBNL
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Rochishnu Chowdhury
- LBNL
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Stephen Guzik
- LBNL
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Numerical reflections in hp-nonuniform Discontinuous Galerkin methods
ORAL
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Presenters
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Bjorn Kierulf
- University of Michigan
Authors
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Bjorn Kierulf
- University of Michigan
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Eric Johnsen
- University of Michigan
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Application of Multi-Fidelity Methods to Uncertainty Quantification of Gravity Currents
ORAL
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Publication: A paper will be submitted as part of the proceedings of the 2024 CTR summer program.
Presenters
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Wilson Lu
- University of Melbourne
Authors
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Wilson Lu
- University of Melbourne
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Wai Kit Lam
- University of Melbourne
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Tony Zahtila
- Stanford University
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Leon Chan
- University of Melbourne
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Duncan Sutherland
- University of New South Wales
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Khalid Moinuddin
- Victoria University
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Richard Manasseh
- Swinburne University of Technology
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Gianluca Iaccarino
- Stanford University
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Andrew Ooi
- University of Melbourne
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Multi-fidelity sensitivity analysis using locally calibrated RANS model
ORAL
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Presenters
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Ayush Parajuli
- University of Maryland College Park
Authors
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Ayush Parajuli
- University of Maryland College Park
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Johan Larsson
- University of Maryland College Park
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The impact of Omnidirectional Integration on the pressure solver in subdomain data assimilation for incompressible flows.
ORAL
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Publication: Abassi, M. A., Wang, Q., and Liu, X., "Data Assimilation for isotropic turbulent flow and Pressure Computation using
Omnidirectional Integration," AIAA SciTech, 2023, p. 0413Presenters
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Mohamed Amine Abassi
- San Diego State University
Authors
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Mohamed Amine Abassi
- San Diego State University
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Qi Wang
- San Diego State University
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Xiaofeng Liu
- San Diego State University
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Parameterizing Particle Dispersion in a Granular Bed Mobilized by Oscillatory Flow
ORAL
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Presenters
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Ian Gregory Babcock Adams
- Ocean Sciences Division, U.S. Naval Research Laboratory
Authors
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Ian Gregory Babcock Adams
- Ocean Sciences Division, U.S. Naval Research Laboratory
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Julian Simeonov
- Ocean Sciences Division, U.S. Naval Research Laboratory
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Variational Physics-Informed Neural Networks for Unsteady Incompressible Flows
ORAL
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Publication: It is a continuation to the work of the following paper:
The principle of minimum pressure gradient: An alternative basis of physics informed learning of incompressible fluid mechanicsPresenters
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Hussam Alhussein
- New York University Abu Dhabi
Authors
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Hussam Alhussein
- New York University Abu Dhabi
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Abdelrahman Amr Elmaradny
- University of California, Irvine
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Haithem E Taha
- University of California, Irvine
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Mohammed F Daqaq
- New York University Abu Dhabi
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Learned Corrections for Discretization in Partial Differential Equations
ORAL
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Presenters
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Henry S Bae
- Harvard University
Authors
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Henry S Bae
- Harvard University
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Michael P Brenner
- Harvard University
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Influence of biorthogonal wavelets on adaptive simulations of turbulent flows
ORAL
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Presenters
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Julius Bergmann
- Aix-Marseille University
Authors
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Thomas Engels
- CNRS
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Julius Bergmann
- Aix-Marseille University
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Kai Schneider
- Aix-Marseille University
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Abstract Withdrawn
ORAL · Withdrawn
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