Bulletin of the American Physical Society

73rd Annual Meeting of the APS Division of Fluid Dynamics

Volume 65, Number 13

Sunday–Tuesday, November 22–24, 2020; Virtual, CT (Chicago time)

Session Index

Session K09: Nonlinear Dynamics: Model Reduction (8:45am - 9:30am CST)

Interactive On Demand

Show Abstracts

Monday, November 23, 2020

		K09.00001: Data-driven Modeling of Detonation Wave Interactions in Rotating Detonation Engines Ariana Mendible, James Koch, Henning Lange, Steven Brunton, Nathan Kutz Preview Abstract
		K09.00002: Data-driven nonlinear aeroelastic models of morphing wings for control Urban Fasel, Nicola Fonzi, Steven L. Brunton Preview Abstract
		K09.00003: Learning dominant physical processes in complex flows with data-driven balance models Jared Callaham, J. Nathan Kutz, Bingni Brunton, Steven Brunton Preview Abstract
		K09.00004: Robust Principal Component Analysis for Modal Decomposition of Corrupt Fluid Flows Isabel Scherl, Benjamin Strom, Jessica K. Shang, Owen Williams, Brian L. Polagye, Steven L. Brunton Preview Abstract
		K09.00005: Sequential sampling with heteroscedastic surrogate model to quantify extreme response statistics Xianliang Gong, Yulin Pan Preview Abstract
		K09.00006: Phase-based analysis of synchronization between laminar cylinder wake and external harmonic actuations Mohammad Amin Khodkar, Kunihiko Taira Preview Abstract
		K09.00007: Network broadcast mode analysis and control with respect to time-varying base flow1 Chi-An Yeh, Muralikrishnan Gopalakrishnan Meena, Kunihiko Taira Preview Abstract
		K09.00008: Wavelet adaptive POD for large scale flow data Philipp Krah, Thomas Engels, Kai Schneider, Julius Reiss Preview Abstract
		K09.00009: Projection and Tree Based Reduced Order Modeling for Vortex Particle Simulations. Steven Rodriguez, Athanasios Iliopoulos, Steven Brunton, Kevin Carlberg, John Michopoulos, John Steuben Preview Abstract
		K09.00010: A hierarchy structure of local Koopman spectra Wei Zhang, Mingjun Wei Preview Abstract
		K09.00011: Least-order model for the transient dynamics of the fluidic pinball Nan Deng, Luc R. Pastur, Bernd R. Noack, Marek Morzynski Preview Abstract
		K09.00012: Towards equation-free resolvent analysis Steven Brunton, Peter Baddoo, Benjamin Herrmann, Beverley McKeon Preview Abstract
		K09.00013: When deep learning meets ergodic theory Michele Alessandro Bucci, Onofrio Semeraro, Sergio Chibbaro, Alexandre Allauzen, Lionel Mathelin Preview Abstract
		K09.00014: Cluster-based network model Hao LI, Daniel Fernex, Richard Semaan, Jianguo TAN, Marek Morzy\’nski, Bernd R. Noack Preview Abstract
		K09.00015: Data-driven sensor selection method using ADMM for a large-scale problem Takayuki Nagata, Nonomura Taku, Kumi Nakai, Keigo Yamada, Yuji Saito, Shunsuke Ono Preview Abstract
		K09.00016: Effect of Objective Function on Sparse Sensor Placement using Greedy Method Kumi Nakai, Keigo Yamada, Takayuki Nagata, Yuji Saito, Taku Nonomura Preview Abstract
		K09.00017: Assessment of hybrid data-driven models to predict unsteady flows Rachit Gupta, Sandeep Reddy Bukka, Rajeev Jaiman Preview Abstract
		K09.00018: Learning fluid flow physics from noisy, incomplete, experimental data Logan Kageorge, Patrick Reinbold, Michael Schatz, Roman Grigoriev Preview Abstract
		K09.00019: Adaptive-Robust Dynamic Mode Decomposition (DMD) for Reduced-Order Modeling and Control Saleh Nabi, Aniketh Kalur, Mouhacine Benosman Preview Abstract
		K09.00020: Probabilistic cluster-based feedback control of fluid flow dynamics Vedasri Godavarthi, Chi-An Yeh, Eurika Kaiser, Kunihiko Taira Preview Abstract
		K09.00021: Neural Network approach to reduced order modeling of multiphase flows Cristina P. Martin Linares, Tom Bertalan, Jiacai Lu, Seungjoon Lee, Yannis Kevrekidis, Gretar Tryggvason Preview Abstract

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Bulletin of the American Physical Society

73rd Annual Meeting of the APS Division of Fluid Dynamics

Volume 65, Number 13

Sunday–Tuesday, November 22–24, 2020; Virtual, CT (Chicago time)

Session Index

Session K09: Nonlinear Dynamics: Model Reduction (8:45am - 9:30am CST)

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