Computational Fluid Dynamics: General III
ORAL · T08 · ID: 22864
Presentations
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A novel Fourier-based (pseudo)spectral framework for 1D hemodynamics and wave propagation in the entire human circulatory system
ORAL
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Presenters
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Faisal Amlani
Univ of Southern California, University of Southern California
Authors
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Faisal Amlani
Univ of Southern California, University of Southern California
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Niema M Pahlevan
University of Southern California, Univ of Southern California, Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA, USA
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An overset grid scheme for studying particles confined to fluid interfaces
ORAL
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Presenters
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Colton Bryant
Northwestern University
Authors
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Colton Bryant
Northwestern University
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David Chopp
Northwestern University
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Michael J Miksis
Northwestern University
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Interpretable Deep Learning for Computational Fluid Dynamics
ORAL
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Publication: https://astroautomata.com/data/sjnn_paper.pdf<br>https://simdl.github.io/files/26.pdf<br>https://arxiv.org/abs/2006.11287
Presenters
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Miles Cranmer
Princeton University/DeepMind
Authors
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Miles Cranmer
Princeton University/DeepMind
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Can Cui
Flatiron Institute
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Drummond Fielding
Flatiron Institute
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Alvaro Sanchez-Gonzalez
DeepMind
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Kimberly Stachenfeld
DeepMind
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Tobias Pfaff
DeepMind
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Jonathan Godwin
DeepMind
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Dmitrii Kochkov
Google Research
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Peter Battaglia
DeepMind
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Shirley Ho
Flatiron Institute
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David N Spergel
Princeton University
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Physics-Informed PointNet: A Deep Learning Strategy for Solving Nonlinear PDEs on Unseen Irregular Geometries
ORAL
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Presenters
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Ali Kashefi
Stanford University
Authors
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Ali Kashefi
Stanford University
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Tapan Mukerji
Stanford University
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A Study of Microgravity on Fluid Instabilities in Microfluidic domain
ORAL
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Presenters
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Sylvain Le Henaff
University of Central Florida
Authors
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Sylvain Le Henaff
University of Central Florida
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Michael P Kinzel
University of Central Florida, university of central florida
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Melanie Coathup
University of Central Florida
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Veerle Reumers
IMEC
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Candice Hovell
IMEC
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Jeremy Mares
IMEC
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Variational quantum algorithm towards quantum computing for fluid mechanics
ORAL
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Presenters
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Han Liu
University of Minnesota
Authors
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Han Liu
University of Minnesota
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Lian Shen
University of Minnesota
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Large-eddy simulation of dominant wind and contaminate transport in New York City
ORAL
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Publication: Wayne R. Oaks, Kevin Flora, Ali Khosronejad; Eulerian numerical modeling of contaminant transport in Lower Manhattan, New York City, from a point-source release under the dominant wind condition: Insights gained via LES; Atmospheric Environment; Volume 262; 2021,
Presenters
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Wayne R Oaks
Stony Brook University
Authors
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Wayne R Oaks
Stony Brook University
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Ali Khosronejad
Stony Brook University, State Univ of NY - Stony Brook, Stony Brook University (SUNY)
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Two-compartment modeling of a hospital isolation room informed by CFD
ORAL
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Presenters
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Anthony J Perez
University of South Florida
Authors
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Anthony J Perez
University of South Florida
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Juan Penaloza Gutierrez
University of South Florida
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Andres E Tejada-Martinez
University of South Florida, Univ of South Florida
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Temporal accuracy of FastRK3
ORAL
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Publication: A.B. Aithal, M. Tipirneni, A. Ferrante. Temporal accuracy of FastRK3. In prep.
Presenters
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Mira Tipirneni
Authors
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Mira Tipirneni
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Abhiram B Aithal
University of Washington
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Antonino Ferrante
University of Washington
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Analysis of downscaled branches and Receptive field on a CNN-based incompressible solver
ORAL
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Publication: E. Ajuria Illarramendi, A. Alguacil, M. Bauerheim, A. Misdariis, B. Cuenot, E. Benazera, Towards an hybrid computational strategy based on deep learning for incompressible flows, in: AIAA AVIATION 2020 FORUM, 2020, p. 3058<br>E. Ajuria, M. Bauerheim, B. Cuenot, Performance and accuracy assessments of an incompressible fluid solver coupled with a deep convolutional neural network, Submitted to Journal of Computational Physics (2021).
Presenters
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Ekhi Ajuria Illarramendi
ISAE SUPAERO, CERFACS
Authors
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Ekhi Ajuria Illarramendi
ISAE SUPAERO, CERFACS
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Michaël Bauerheim
ISAE SUPAERO, ISAE-SUPAERO, Université de Toulouse, France
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Bénédicte Cuenot
CERFACS, Cerfacs
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A New Approach for Geometric Representations in Convolutional Neural Networks for Fluid Dynamics Problems
ORAL
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Presenters
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Akindolu Dada
Department of Mathematics & Statistics, University of Windsor, Windsor, ON N9B 3P4, Canada
Authors
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Akindolu Dada
Department of Mathematics & Statistics, University of Windsor, Windsor, ON N9B 3P4, Canada
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Mohamed Belalia
Department of Mathematics & Statistics, University of Windsor, Windsor, ON N9B 3P4, Canada, University of Windsor
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Ronald M Barron
Department of Mechanical, Automotive & Materials Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada, University of Windsor
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A multigrid solver for the coupled pressure-temperature equations in an all-Mach solver with VoF
ORAL
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Presenters
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Youssef Saade
University of Twente
Authors
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Youssef Saade
University of Twente
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Detlef Lohse
Univ of Twente, University of Twente, Max Planck Center Twente for Complex Fluid Dynamics and J.M. Burgers Centre for Fluid Mechanics, University of Twente
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Daniel Fuster
CNRS
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