1-11 of 11
Brian R. Hunt
Close
Save search
Follow your search
Access your saved searches in your account
Close Modal
Sort by
Journal Articles

Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components

Editor’s Pick
Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Istvan Szunyogh, Michelle Girvan, Edward Ott
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Chaos 31, 053114 (2021)
https://doi.org/10.1063/5.0048050
Published: May 2021
View article titled, Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components
Open the PDF for Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components in another window
Journal Articles

Separation of chaotic signals by reservoir computing

Sanjukta Krishnagopal, Michelle Girvan, Edward Ott, Brian R. Hunt
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Chaos 30, 023123 (2020)
https://doi.org/10.1063/1.5132766
Published: February 2020
View article titled, Separation of chaotic signals by reservoir computing
Open the PDF for Separation of chaotic signals by reservoir computing in another window
Journal Articles

Dynamics of analog logic-gate networks for machine learning

Itamar Shani, Liam Shaughnessy, John Rzasa, Alessandro Restelli, Brian R. Hunt, Heidi Komkov, Daniel P. Lathrop
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Chaos 29, 123130 (2019)
https://doi.org/10.1063/1.5123753
Published: December 2019
View article titled, Dynamics of analog logic-gate networks for machine learning
Open the PDF for Dynamics of analog logic-gate networks for machine learning in another window
Journal Articles

Attractor reconstruction by machine learning

Editor’s Pick
Zhixin Lu, Brian R. Hunt, Edward Ott
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Chaos 28, 061104 (2018)
https://doi.org/10.1063/1.5039508
Published: June 2018
View article titled, Attractor reconstruction by machine learning
Open the PDF for Attractor reconstruction by machine learning in another window
Journal Articles

Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model

Featured
Jaideep Pathak, Alexander Wikner, Rebeckah Fussell, Sarthak Chandra, Brian R. Hunt, Michelle Girvan, Edward Ott
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Chaos 28, 041101 (2018)
https://doi.org/10.1063/1.5028373
Published: April 2018
View article titled, Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model
Open the PDF for Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model in another window
Journal Articles

Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data

Jaideep Pathak, Zhixin Lu, Brian R. Hunt, Michelle Girvan, Edward Ott
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Chaos 27, 121102 (2017)
https://doi.org/10.1063/1.5010300
Published: December 2017
View article titled, Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data
Open the PDF for Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data in another window
Journal Articles

Defining chaos

Featured
Brian R. Hunt, Edward Ott
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Chaos 25, 097618 (2015)
https://doi.org/10.1063/1.4922973
Published: July 2015
View article titled, Defining chaos
Open the PDF for Defining chaos in another window
Journal Articles

Comment on “Long time evolution of phase oscillator systems” [Chaos 19 , 023117 (2009)]

Edward Ott, Brian R. Hunt, Thomas M. Antonsen, Jr.
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Chaos 21, 025112 (2011)
https://doi.org/10.1063/1.3574931
Published: June 2011
View article titled, Comment on “Long time evolution of phase oscillator systems” [Chaos 19 , 023117 (2009)]
Open the PDF for Comment on “Long time evolution of phase oscillator systems” [Chaos 19 , 023117 (2009)] in another window
Journal Articles

Synchronization in large directed networks of coupled phase oscillators

Juan G. Restrepo, Edward Ott, Brian R. Hunt
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Chaos 16, 015107 (2006)
https://doi.org/10.1063/1.2148388
Published: March 2006
View article titled, Synchronization in large directed networks of coupled phase oscillators
Open the PDF for Synchronization in large directed networks of coupled phase oscillators in another window
Journal Articles

Localized error bursts in estimating the state of spatiotemporal chaos

Seung-Jong Baek, Brian R. Hunt, Istvan Szunyogh, Aleksey Zimin, Edward Ott
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Chaos 14, 1042–1049 (2004)
https://doi.org/10.1063/1.1788091
Published: December 2004
View article titled, Localized error bursts in estimating the state of spatiotemporal chaos
Open the PDF for Localized error bursts in estimating the state of spatiotemporal chaos in another window
Journal Articles

Local Low Dimensionality and Relation to Effects Of Targeted Weather Observations

D. J. Patil, Istvan Szunyogh, Aleksey V. Zimin, Brian R. Hunt, Edward Ott, Eugenia Kalnay, James A. Yorke
Journal: AIP Conference Proceedings
AIP Conf. Proc. 676, 139–153 (2003)
https://doi.org/10.1063/1.1612207
Published: August 2003
View article titled, Local Low Dimensionality and Relation to Effects Of Targeted Weather Observations
Open the PDF for Local Low Dimensionality and Relation to Effects Of Targeted Weather Observations in another window