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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