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Steven L Brunton

Showing results (21-30 of 50) with videos related to

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Chaos (Woodbury, N.Y.)|July 2, 2018
Sparse identification of nonlinear dynamics for rapid model recoveryMarkus Quade, Markus Abel, J Nathan Kutz, et al.
Science Advances|May 11, 2022
An empirical mean-field model of symmetry-breaking in a turbulent wakeJared L Callaham, Georgios Rigas, Jean-Christophe Loiseau, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 4, 2021
Intensity-Mosaic: automatic panorama mosaicking of disordered images with insufficient featuresChen Gong, Steven L Brunton, Brian T Schowengerdt, et al.
Proceedings. Mathematical, Physical, and Engineering Sciences|April 22, 2022
Kernel learning for robust dynamic mode decomposition: linear and nonlinear disambiguation optimizationPeter J Baddoo, Benjamin Herrmann, Beverley J McKeon, et al.
Scientific Reports|November 4, 2021
DeepGreen: deep learning of Green's functions for nonlinear boundary value problemsCraig R Gin, Daniel E Shea, Steven L Brunton, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|February 3, 2016
Extremum-seeking control of the beam pattern of a reconfigurable holographic metamaterial antennaMikala C Johnson, Steven L Brunton, Nathan B Kundtz, et al.
Plos One|February 27, 2016
Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for ControlSteven L Brunton, Bingni W Brunton, Joshua L Proctor, et al.
Science Advances|May 17, 2017
Data-driven discovery of partial differential equationsSamuel H Rudy, Steven L Brunton, Joshua L Proctor, et al.
Plos Computational Biology|January 12, 2017
Spatiotemporal Feedback and Network Structure Drive and Encode Caenorhabditis elegans LocomotionJames M Kunert, Joshua L Proctor, Steven L Brunton, et al.
Physical Review. E|August 20, 2021
Physics-constrained, low-dimensional models for magnetohydrodynamics: First-principles and data-driven approachesAlan A Kaptanoglu, Kyle D Morgan, Chris J Hansen, et al.
Pageof 5

Showing results (21-30 of 50) with videos related to

Sort By:
Pageof 5
Chaos (Woodbury, N.Y.)|July 2, 2018
Sparse identification of nonlinear dynamics for rapid model recoveryMarkus Quade, Markus Abel, J Nathan Kutz, et al.
Science Advances|May 11, 2022
An empirical mean-field model of symmetry-breaking in a turbulent wakeJared L Callaham, Georgios Rigas, Jean-Christophe Loiseau, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 4, 2021
Intensity-Mosaic: automatic panorama mosaicking of disordered images with insufficient featuresChen Gong, Steven L Brunton, Brian T Schowengerdt, et al.
Proceedings. Mathematical, Physical, and Engineering Sciences|April 22, 2022
Kernel learning for robust dynamic mode decomposition: linear and nonlinear disambiguation optimizationPeter J Baddoo, Benjamin Herrmann, Beverley J McKeon, et al.
Scientific Reports|November 4, 2021
DeepGreen: deep learning of Green's functions for nonlinear boundary value problemsCraig R Gin, Daniel E Shea, Steven L Brunton, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|February 3, 2016
Extremum-seeking control of the beam pattern of a reconfigurable holographic metamaterial antennaMikala C Johnson, Steven L Brunton, Nathan B Kundtz, et al.
Plos One|February 27, 2016
Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for ControlSteven L Brunton, Bingni W Brunton, Joshua L Proctor, et al.
Science Advances|May 17, 2017
Data-driven discovery of partial differential equationsSamuel H Rudy, Steven L Brunton, Joshua L Proctor, et al.
Plos Computational Biology|January 12, 2017
Spatiotemporal Feedback and Network Structure Drive and Encode Caenorhabditis elegans LocomotionJames M Kunert, Joshua L Proctor, Steven L Brunton, et al.
Physical Review. E|August 20, 2021
Physics-constrained, low-dimensional models for magnetohydrodynamics: First-principles and data-driven approachesAlan A Kaptanoglu, Kyle D Morgan, Chris J Hansen, et al.
Pageof 5