J. Nathan Kutz
J. Nathan Kutz
Professor of Applied Mathematics
Verified email at uw.edu - Homepage
Title
Cited by
Cited by
Year
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
SL Brunton, JL Proctor, JN Kutz
Proceedings of the national academy of sciences 113 (15), 3932-3937, 2016
11382016
On dynamic mode decomposition: Theory and applications
JH Tu, CW Rowley, DM Luchtenburg, SL Brunton, JN Kutz
arXiv preprint arXiv:1312.0041, 2013
9092013
Dynamic mode decomposition: data-driven modeling of complex systems
JN Kutz, SL Brunton, BW Brunton, JL Proctor
Society for Industrial and Applied Mathematics, 2016
5352016
Data-driven discovery of partial differential equations
SH Rudy, SL Brunton, JL Proctor, JN Kutz
Science Advances 3 (4), e1602614, 2017
4902017
Dynamic mode decomposition with control
JL Proctor, SL Brunton, JN Kutz
SIAM Journal on Applied Dynamical Systems 15 (1), 142-161, 2016
3672016
Bose-Einstein condensates in standing waves: The cubic nonlinear Schrödinger equation with a periodic potential
JC Bronski, LD Carr, B Deconinck, JN Kutz
Physical Review Letters 86 (8), 1402, 2001
3192001
Deep learning for universal linear embeddings of nonlinear dynamics
B Lusch, JN Kutz, SL Brunton
Nature communications 9 (1), 1-10, 2018
3132018
Deep learning in fluid dynamics
JN Kutz
Journal of Fluid Mechanics 814, 1-4, 2017
2992017
Data-driven science and engineering: Machine learning, dynamical systems, and control
SL Brunton, JN Kutz
Cambridge University Press, 2019
2942019
Data-driven modeling & scientific computation: methods for complex systems & big data
JN Kutz
Oxford University Press, 2013
2802013
Data-driven modeling & scientific computation: methods for complex systems & big data
JN Kutz
Oxford University Press, 2013
2802013
Data-driven modeling & scientific computation: methods for complex systems & big data
JN Kutz
Oxford University Press, 2013
2802013
Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition
BW Brunton, LA Johnson, JG Ojemann, JN Kutz
Journal of neuroscience methods 258, 1-15, 2016
2462016
Koopman invariant subspaces and finite linear representations of nonlinear dynamical systems for control
SL Brunton, BW Brunton, JL Proctor, JN Kutz
PloS one 11 (2), e0150171, 2016
2172016
Mode-locked soliton lasers
JN Kutz
SIAM review 48 (4), 629-678, 2006
2042006
Chaos as an intermittently forced linear system
SL Brunton, BW Brunton, JL Proctor, E Kaiser, JN Kutz
Nature communications 8 (1), 1-9, 2017
1962017
Multiresolution dynamic mode decomposition
JN Kutz, X Fu, SL Brunton
SIAM Journal on Applied Dynamical Systems 15 (2), 713-735, 2016
1842016
Stabilized pulse spacing in soliton lasers due to gain depletion and recovery
JN Kutz, BC Collings, K Bergman, WH Knox
IEEE journal of quantum electronics 34 (9), 1749-1757, 1998
1811998
Stability of repulsive Bose-Einstein condensates in a periodic potential
JC Bronski, LD Carr, B Deconinck, JN Kutz, K Promislow
Physical Review E 63 (3), 036612, 2001
1772001
Inferring biological networks by sparse identification of nonlinear dynamics
NM Mangan, SL Brunton, JL Proctor, JN Kutz
IEEE Transactions on Molecular, Biological and Multi-Scale Communications 2 …, 2016
1642016
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