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Clarence W. Rowley

Clarence W. Rowley

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
60
Citations
25554
World Ranking
675
National Ranking
292

Overview

Clarence W. Rowley is affiliated with Princeton University in the United States. Their research spans multiple fields, including Engineering and Physics and Astronomy, with significant contributions particularly in Computational Mechanics and Statistical and Nonlinear Physics. Other subfields of their work include Artificial Intelligence, Control and Systems Engineering, and Aerospace Engineering.

The scientist's research topics cover a variety of areas, notably Model Reduction and Neural Networks, Fluid Dynamics and Turbulent Flows, and Advanced Bandit Algorithms Research. Additional focus areas include Fluid Dynamics and Vibration Analysis, Gaussian Processes and Bayesian Inference, Probabilistic and Robust Engineering Design, and Machine Learning and Algorithms.

Clarence W. Rowley has multiple frequent co-authors, which include Alberto Padovan, Samuel E. Otto, Jacob Carruth, Maximilian F. Eggl, and Charles Fefferman. This collaboration network reflects interdisciplinary teamwork in engineering and applied physics domains.

The venues where Clarence has published research with some regularity include arXiv (Cornell University), Journal of Fluid Mechanics, Revista Matemática Iberoamericana, SIAM Journal on Scientific Computing, and Physical Review Fluids. These venues indicate a diverse publication record spanning preprints, mathematics, fluid mechanics, and scientific computing.

Among recent notable papers authored or co-authored by Clarence W. Rowley are the following:

  • Koopman Operators for Estimation and Control of Dynamical Systems, 2021, Annual Review of Control Robotics and Autonomous Systems
  • Adaptive separation control of a laminar boundary layer using online dynamic mode decomposition, 2020, Journal of Fluid Mechanics
  • Connections between resonance and nonlinearity in swimming performance of a flexible heaving plate, 2020, Journal of Fluid Mechanics
  • Analysis of the dynamics of subharmonic flow structures via the harmonic resolvent: Application to vortex pairing in an axisymmetric jet, 2022, Physical Review Fluids
  • Optimizing Oblique Projections for Nonlinear Systems using Trajectories, 2022, SIAM Journal on Scientific Computing

Best Publications

  • On dynamic mode decomposition: Theory and applications

    Jonathan H. Tu;Clarence Worth Rowley;Dirk M. Luchtenburg;Steven L. Brunton

  • Spectral analysis of nonlinear flows

    Clarence Rowley;Igor Mezic;Shervin Bagheri;Philipp Schlatter

  • A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition

    Matthew O. Williams;Ioannis G. Kevrekidis;Clarence W. Rowley

  • Modal Analysis of Fluid Flows: An Overview

    Kunihiko Taira;Steven L. Brunton;Scott T. M. Dawson;Clarence W. Rowley

  • MODEL REDUCTION FOR FLUIDS, USING BALANCED PROPER ORTHOGONAL DECOMPOSITION

    Clarence W. Rowley

  • Model reduction for compressible flows using POD and Galerkin projection

    Clarence W. Rowley;Tim Colonius;Richard M. Murray

  • Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses

    Kevin K. Chen;Jonathan H. Tu;Clarence W. Rowley

  • Turbulence, Coherent Structures, Dynamical Systems and Symmetry: OTHER APPLICATIONS AND RELATED WORK

    Philip Holmes;John L. Lumley;Gahl Berkooz;Clarence W. Rowley

  • Model Reduction for Flow Analysis and Control

    Clarence Worth Rowley;Scott T.M. Dawson

  • On self-sustained oscillations in two-dimensional compressible flow over rectangular cavities

    Clarence Worth Rowley;Tim Colonius;Amit J. Basu

  • Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition

    Scott T.M. Dawson;Maziar S. Hemati;Matthew O. Williams;Clarence Worth Rowley

  • Dynamics and control of high-reynolds-number flow over open cavities

    Clarence Worth Rowley;David R. Williams

  • Maximum Power Point Tracking for Photovoltaic Optimization Using Ripple-Based Extremum Seeking Control

    Steven L Brunton;Clarence W Rowley;Sanjeev R Kulkarni;Charles Clarkson

  • Detection of Lagrangian coherent structures in three-dimensional turbulence

    M. A. Green;C. W. Rowley;G. Haller

  • De-biasing the dynamic mode decomposition for applied Koopman spectral analysis of noisy datasets

    Maziar S. Hemati;Clarence W. Rowley;Eric A. Deem;Louis N. Cattafesta

  • De-Biasing the Dynamic Mode Decomposition for Applied Koopman Spectral Analysis

    Maziar S. Hemati;Clarence W. Rowley;Eric A. Deem;Louis N. Cattafesta

  • Linearly Recurrent Autoencoder Networks for Learning Dynamics

    Samuel E. Otto;Clarence Worth Rowley

  • Active control of flow-induced cavity oscillations

    Louis N. Cattafesta;Qi Song;David R. Williams;Clarence Worth Rowley

  • A kernel-based method for data-driven koopman spectral analysis

    Matthew O. Williams;Clarence W. Rowley;Ioannis G. Kevrekidis

  • Scaling the propulsive performance of heaving and pitching foils

    Daniel Floryan;Tyler Van Buren;Clarence Worth Rowley;Alexander Smits

  • Locomotion of articulated bodies in a perfect fluid

    Eva Kanso;Jerrold E. Marsden;Clarence W. Rowley;Juan B. Melli-Huber

Frequent Co-Authors

Tim Colonius
Tim Colonius California Institute of Technology
Louis N. Cattafesta
Louis N. Cattafesta Illinois Institute of Technology
Ioannis G. Kevrekidis
Ioannis G. Kevrekidis Johns Hopkins University
Kunihiko Taira
Kunihiko Taira University of California, Los Angeles
Alexander Smits
Alexander Smits Princeton University
Rajat Mittal
Rajat Mittal Johns Hopkins University
Richard M. Murray
Richard M. Murray California Institute of Technology
Dan S. Henningson
Dan S. Henningson Royal Institute of Technology
Jerrold E. Marsden
Jerrold E. Marsden California Institute of Technology
Gilead Tadmor
Gilead Tadmor Northeastern University

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