Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Steven L Brunton

Showing results (11-20 of 50) with videos related to

Pageof 5
Sort By:
Optics Express|April 11, 2014
Classification of birefringence in mode-locked fiber lasers using machine learning and sparse representationXing Fu, Steven L Brunton, J Nathan Kutz
Physical Review. E|July 18, 2018
Networked-oscillator-based modeling and control of unsteady wake flowsAditya G Nair, Steven L Brunton, Kunihiko Taira
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 15, 2015
Nonlinear model reduction for dynamical systems using sparse sensor locations from learned librariesSyuzanna Sargsyan, Steven L Brunton, J Nathan Kutz
Sensors (Basel, Switzerland)|June 27, 2024
Mobile Sensor Path Planning for Kalman Filter Spatiotemporal EstimationJiazhong Mei, Steven L Brunton, J Nathan Kutz
Proceedings of the National Academy of Sciences of the United States of America|April 2, 2016
Discovering governing equations from data by sparse identification of nonlinear dynamical systemsSteven L Brunton, Joshua L Proctor, J Nathan Kutz
Royal Society Open Science|November 4, 2024
Lagrangian gradient regression for the detection of coherent structures from sparse trajectory dataTanner D Harms, Steven L Brunton, Beverley J McKeon
Nature Communications|June 12, 2024
Towards extending the aircraft flight envelope by mitigating transonic airfoil buffetEsther Lagemann, Steven L Brunton, Wolfgang Schröder, et al.
Nature Computational Science|January 4, 2024
Dimensionally consistent learning with Buckingham PiJoseph Bakarji, Jared Callaham, Steven L Brunton, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 23, 2019
Data-driven discovery of coordinates and governing equationsKathleen Champion, Bethany Lusch, J Nathan Kutz, et al.
Physical Review. E|February 23, 2022
Principal component trajectories for modeling spectrally continuous dynamics as forced linear systemsDaniel Dylewsky, Eurika Kaiser, Steven L Brunton, et al.
Pageof 5

Showing results (11-20 of 50) with videos related to

Sort By:
Pageof 5
Optics Express|April 11, 2014
Classification of birefringence in mode-locked fiber lasers using machine learning and sparse representationXing Fu, Steven L Brunton, J Nathan Kutz
Physical Review. E|July 18, 2018
Networked-oscillator-based modeling and control of unsteady wake flowsAditya G Nair, Steven L Brunton, Kunihiko Taira
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 15, 2015
Nonlinear model reduction for dynamical systems using sparse sensor locations from learned librariesSyuzanna Sargsyan, Steven L Brunton, J Nathan Kutz
Sensors (Basel, Switzerland)|June 27, 2024
Mobile Sensor Path Planning for Kalman Filter Spatiotemporal EstimationJiazhong Mei, Steven L Brunton, J Nathan Kutz
Proceedings of the National Academy of Sciences of the United States of America|April 2, 2016
Discovering governing equations from data by sparse identification of nonlinear dynamical systemsSteven L Brunton, Joshua L Proctor, J Nathan Kutz
Royal Society Open Science|November 4, 2024
Lagrangian gradient regression for the detection of coherent structures from sparse trajectory dataTanner D Harms, Steven L Brunton, Beverley J McKeon
Nature Communications|June 12, 2024
Towards extending the aircraft flight envelope by mitigating transonic airfoil buffetEsther Lagemann, Steven L Brunton, Wolfgang Schröder, et al.
Nature Computational Science|January 4, 2024
Dimensionally consistent learning with Buckingham PiJoseph Bakarji, Jared Callaham, Steven L Brunton, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 23, 2019
Data-driven discovery of coordinates and governing equationsKathleen Champion, Bethany Lusch, J Nathan Kutz, et al.
Physical Review. E|February 23, 2022
Principal component trajectories for modeling spectrally continuous dynamics as forced linear systemsDaniel Dylewsky, Eurika Kaiser, Steven L Brunton, et al.
Pageof 5