Machine Learning and Data Driven Models II
ORAL · G32
Presentations
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Will it flood? Classifying entrainment outcomes via machine learning
ORAL
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Presenters
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Lachlan R Mason
Imperial College London
Authors
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Lachlan R Mason
Imperial College London
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Indranil Pan
Imperial College London
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Aditya Karnik
Imperial College London
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Assen Batchvarov
Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK, Imperial College London
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Richard V Craster
Imperial College London, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK
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Omar K Matar
Imperial College London, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK
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Prediction of Effective Thermal Conductivity for Lithium-Ion Battery Electrodes Using Machine Learning Techniques
ORAL
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Presenters
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Fazlolah Mohaghegh
University of California - Los Angeles
Authors
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Fazlolah Mohaghegh
University of California - Los Angeles
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Jayathi Murthy
University of California - Los Angeles
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LAT-NET++: Compressing Fluid Simulations using Deep Neural Networks
ORAL
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Presenters
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Oliver Hennigh
Los Alamos National Laboratory
Authors
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Oliver Hennigh
Los Alamos National Laboratory
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Michael Chertkov
Los Alamos National Laboratory, Los Alamos Natl Lab
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CFD simulations of a data center to train an artificial neural network model
ORAL
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Presenters
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Jayati Athavale
Georgia Institute of Technology
Authors
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Jayati Athavale
Georgia Institute of Technology
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Minami Yoda
Georgia Inst of Tech, Georgia Institute of Technology
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Yogendra Kumar Joshi
Georgia Institute of Technology
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Data-driven prediction of unsteady flow over a circular cylinder using deep learning
ORAL
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Presenters
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Sangseung Lee
Pohang University of Science and Technology
Authors
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Sangseung Lee
Pohang University of Science and Technology
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Donghyun You
Pohang University of Science and Technology, POSTECH
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A Machine Learning Model for Unsteady Wake Dynamics
ORAL
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Presenters
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Tharindu Pradeeptha Miyanawala
Natl Univ of Singapore
Authors
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Tharindu Pradeeptha Miyanawala
Natl Univ of Singapore
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Rajeev Kumar Jaiman
Natl Univ of Singapore, University of British Columbia, Vancouver, University of British Columbia
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Deep Learning-aided Spectral Analysis of Fluid Flows
ORAL
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Presenters
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Balaji Jayaraman
Oklahoma State University
Authors
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Balaji Jayaraman
Oklahoma State University
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Shivakanth Chary Puligilla
Oklahoma State University
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Physics-Informed Generative Adversarial Networks by Incorporating Conservation Laws
ORAL
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Presenters
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Yang Zeng
Virginia Tech
Authors
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Yang Zeng
Virginia Tech
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Jinlong Wu
Virginia Tech
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Heng Xiao
Virginia Tech
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Hidden Fluid Mechanics: Navier-Stokes Informed Deep Learning from the Passive Scalar Transport
ORAL
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Presenters
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Alireza Yazdani
Brown University
Authors
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Alireza Yazdani
Brown University
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Maziar Raissi
Brown University
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George Em Karniadakis
Brown Univ, Brown University
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Feature Engineering for Data Driven Applications in Physical Sciences
ORAL
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Presenters
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Aashwin Mishra
Stanford University, Stanford Univ
Authors
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Aashwin Mishra
Stanford University, Stanford Univ
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Gianluca Iaccarino
Stanford University, Stanford Univ
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