Low-Order Modeling and Machine Learning in Fluid Dynamics: Other Applications
ORAL · K06 · ID: 3583524
Presentations
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Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number
ORAL
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Publication: Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number
Presenters
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Alana A Bailey
- University of California Davis
Authors
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Alana A Bailey
- University of California Davis
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Robert D Guy
- University of California, Davis
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Estimating near-surface wind over complex terrain using deep learning with short-term observations
ORAL
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Presenters
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Takenobu Michioka
- Kindai University
Authors
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Takenobu Michioka
- Kindai University
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Haruto Kawamoto
- Kindai University
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Hiroshi Takimoto
- Central Research Institute of Elecctric Power Industry
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Ayumu Sato
- Central Research Institute of Elecctric Power Industry
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Bicubic Fourier neural operator for Super-Resolution Reconstruction of Turbulent Flows
ORAL
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Presenters
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Diya Nag Chaudhury
- Indian Institute of Science Bengaluru
Authors
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Diya Nag Chaudhury
- Indian Institute of Science Bengaluru
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Sai Bhargav Pochinapeddi
- Rensselaer Polytechnic Institute
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Sashikumaar Ganesan
- Indian Institute of Science Bengaluru
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Flow-Informed Path-Planning With Realistic Geometries for Safe Autonomous Flight in Cities
ORAL
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Presenters
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Alejandro Stefan-Zavala
- Caltech
Authors
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Alejandro Stefan-Zavala
- Caltech
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Peter Ian James Renn
- Caltech
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Sabera Talukder
- Caltech
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Yisong Yue
- Caltech
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Julian Humml
- Caltech
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Morteza Gharib
- Caltech
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Machine-learning-based prediction of a scalar source location from remote sensors in turbulent flow
ORAL
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Presenters
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Changbeom Kim
- Seoul National University
Authors
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Changbeom Kim
- Seoul National University
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Sehyeong Oh
- Samsung Advanced Institute of Technology
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Haecheon Choi
- Seoul National University
- Seoul Natl Univ
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Inverse prediction of upstream boundary conditions for nonlinear partial differential equations using artificial neural networks
ORAL
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Presenters
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Jihoo Kim
- Postech
Authors
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Jihoo Kim
- Postech
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Donghyun You
- Pohang Univ of Sci & Tech
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Abstract Withdrawn
ORAL · Withdrawn
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Similarity Learning with neural networks
ORAL
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Publication: Similarity Learning with neural networks, Physical Review E - published February 2025
Presenters
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Gabriel R Sanfins
- UFRJ
Authors
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Gabriel R Sanfins
- UFRJ
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Fabio A Ramos
- Federal University of Rio de Janeiro
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Danilo F Naiff
- UFRJ
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Interpreting Learned Physics in Neural ODEs through a DEIM-based Spatio-temporal Analysis
ORAL
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Presenters
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Hojin Kim
- Purdue University
Authors
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Hojin Kim
- Purdue University
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Romit Maulik
- Argonne National Laboratory
- The Pennsylvania State University
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Abstract Withdrawn
ORAL · Withdrawn
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Assessment of Machine-Learning-Based Forecasting Models for Plume-Surface Interaction
ORAL
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Presenters
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Srijan Satyal
- Auburn University
Authors
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Srijan Satyal
- Auburn University
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Vikas Bhargav
- Auburn University
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Brian S Thurow
- Auburn University
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David E Scarborough
- Auburn University
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Vrishank Raghav
- Auburn University
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Nek Sharan
- Auburn University
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Data-Driven Thermal Imaging for Real-Time Nuclear Safety Monitoring and Temperature Reconstruction
ORAL
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Publication: Karnik, Niharika, Mohammad G. Abdo, Carlos E. Estrada-Perez, Jun Soo Yoo, Joshua J. Cogliati, Richard S. Skifton, Pattrick Calderoni, Steven L. Brunton, and Krithika Manohar. "Sensor-based Classification, Reconstruction and State Estimation of Power Perturbations for Digital Twins." (In Preparation).
Presenters
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Niharika Karnik
- University of Washington
Authors
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Niharika Karnik
- University of Washington
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Krithika Manohar
- University of Washington
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Mohammad G Abdo
- Idaho National Laboratory
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