World's Best Scientists 2026 revealed!

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Physics

D-Index
126
Citations
69760
World Ranking
636
National Ranking
353

Research.com Recognitions

  • 2020 - Member of Academia Europaea
  • 2012 - SIAM Fellow For broad and deep investigations of nonlinear dynamical systems, which highlight both theory and application.

Overview

Edward Ott is affiliated with the University of Maryland, College Park in the United States. Their research spans Computer Science and Physics and Astronomy, with specific focus on several subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Atmospheric Science, Global and Planetary Change, and Electrical and Electronic Engineering.

Their work addresses a range of topics primarily centered on Neural Networks and Reservoir Computing, Meteorological Phenomena and Simulations, Complex Systems and Time Series Analysis, Ecosystem Dynamics and Resilience, Climate Variability and Models, Model Reduction and Neural Networks, and Neural Networks and Applications.

Edward Ott has published numerous papers in notable venues such as arXiv (Cornell University), Chaos An Interdisciplinary Journal of Nonlinear Science, Physical Review E, Geophysical Research Letters, and the Journal of Advances in Modeling Earth Systems.

Some recent papers include:

  • A Machine Learning-Based Global Atmospheric Forecast Model, 2020, Geophysical Research Letters
  • Introduction to Focus Issue: When machine learning meets complex systems: Networks, chaos, and nonlinear dynamics, 2020, Chaos An Interdisciplinary Journal of Nonlinear Science
  • Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate, regime transitions, and the effect of stochasticity, 2021, Chaos An Interdisciplinary Journal of Nonlinear Science
  • A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics-Based Numerical Model, 2022, Journal of Advances in Modeling Earth Systems
  • Parallel Machine Learning for Forecasting the Dynamics of Complex Networks, 2022, Physical Review Letters

Frequent co-authors who have collaborated with Edward Ott include:

  • Thomas M. Antonsen
  • Brian R. Hunt
  • Steven M. Anlage
  • Michelle Girvan
  • Troy Arcomano

Publication venues where Edward Ott has contributed multiple works:

  • arXiv (Cornell University)
  • Chaos An Interdisciplinary Journal of Nonlinear Science
  • Physical Review E
  • Geophysical Research Letters
  • Journal of Advances in Modeling Earth Systems

Edward Ott has received recognition in the form of awards including:

  • Member of Academia Europaea, 2020
  • SIAM Fellow, 2012, for broad and deep investigations of nonlinear dynamical systems, which highlight both theory and application

Best Publications

  • Chaos in dynamical systems

    Edward Ott

  • Crises, sudden changes in chaotic attractors, and transient chaos

    Celso Grebogi;Edward Ott;James A. Yorke

  • THE DIMENSION OF CHAOTIC ATTRACTORS

    J. Doyne Farmer;Edward Ott;James A. Yorke

  • Using small perturbations to control chaos

    Troy Shinbrot;Troy Shinbrot;Celso Grebogi;James A. Yorke;Edward Ott

  • Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach

    Jaideep Pathak;Brian Hunt;Michelle Girvan;Zhixin Lu

  • A local ensemble Kalman filter for atmospheric data assimilation

    Edward Ott;Brian R. Hunt;Istvan Szunyogh;Aleksey V. Zimin

  • CHAOTIC ATTRACTORS IN CRISIS

    Celso Grebogi;Edward Ott;James A. Yorke

  • Low dimensional behavior of large systems of globally coupled oscillators.

    Edward Ott;Thomas M. Antonsen

  • Self‐focusing of short intense pulses in plasmas

    Guo‐Zheng Sun;Edward Ott;Y. C. Lee;Parvez Guzdar

  • Strange attractors that are not chaotic

    Celso Grebogi;Edward Ott;Steven Pelikan;James A. Yorke

  • Fractal basin boundaries

    Steven W. McDonald;Celso Grebogi;Edward Ott;James A. Yorke

  • Crowd synchrony on the Millennium Bridge

    Steven H. Strogatz;Daniel M. Abrams;Allan McRobie;Bruno Eckhardt;Bruno Eckhardt

  • Communicating with chaos.

    Scott Hayes;Celso Grebogi;Edward Ott

  • Coping with chaos. Analysis of chaotic data and the exploitation of chaotic systems

    Edward Ott;Tim Sauer;James A. Yorke

  • Strange attractors and chaotic motions of dynamical systems

    Edward Ott

  • Critical exponents for crisis-induced intermittency

    Celso Grebogi;Edward Ott;Filipe Romeiras;James A. Yorke

  • Theoretical mechanics: crowd synchrony on the Millennium Bridge.

    Steven H. Strogatz;Daniel M. Abrams;Allan McRobie;Bruno Eckhardt

  • Dimension of Strange Attractors

    David A. Russell;James D. Hanson;Edward Ott

  • Blowout bifurcations: the occurrence of riddled basins and on-off intermittency

    Edward Ott;John C. Sommerer

  • Controlling chaotic dynamical systems

    Filipe J. Romeiras;Filipe J. Romeiras;Celso Grebogi;Edward Ott;W. P. Dayawansa

Frequent Co-Authors

Thomas M. Antonsen
Thomas M. Antonsen University of Maryland, College Park
Celso Grebogi
Celso Grebogi University of Aberdeen
James A. Yorke
James A. Yorke University of Maryland, College Park
Brian R. Hunt
Brian R. Hunt University of Maryland, College Park
Steven M. Anlage
Steven M. Anlage University of Maryland, College Park
Wallace M. Manheimer
Wallace M. Manheimer United States Naval Research Laboratory
Eugenia Kalnay
Eugenia Kalnay University of Maryland, College Park
Mingzhou Ding
Mingzhou Ding University of Florida
William L. Ditto
William L. Ditto North Carolina State University
Timothy Sauer
Timothy Sauer George Mason University

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