Steven L. Brunton, Ph.D.

Affiliations: 
2012 Mechanical and Aerospace Engineering Princeton University, Princeton, NJ 
Area:
Aerospace Engineering
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"Steven Brunton"

Parents

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Clarence W. Rowley grad student 2012 Princeton
 (Unsteady aerodynamic models for agile flight at low Reynolds numbers.)

Children

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Krithika Manohar grad student 2013- University of Washington (MathTree)
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Publications

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Bai Z, Erichson NB, Gopalakrishnan Meena M, et al. (2019) Randomized methods to characterize large-scale vortical flow networks. Plos One. 14: e0225265
Champion K, Lusch B, Kutz JN, et al. (2019) Data-driven discovery of coordinates and governing equations. Proceedings of the National Academy of Sciences of the United States of America. 116: 22445-22451
Li S, Kaiser E, Laima S, et al. (2019) Discovering time-varying aerodynamics of a prototype bridge by sparse identification of nonlinear dynamical systems. Physical Review. E. 100: 022220
Gong C, Erichson NB, Kelly JP, et al. (2019) RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology. Ieee Transactions On Medical Imaging
Lusch B, Kutz JN, Brunton SL. (2018) Deep learning for universal linear embeddings of nonlinear dynamics. Nature Communications. 9: 4950
Mohren TL, Daniel TL, Brunton SL, et al. (2018) Neural-inspired sensors enable sparse, efficient classification of spatiotemporal data. Proceedings of the National Academy of Sciences of the United States of America
Brunton SL, Brunton BW, Proctor JL, et al. (2017) Chaos as an intermittently forced linear system. Nature Communications. 8: 19
Rudy SH, Brunton SL, Proctor JL, et al. (2017) Data-driven discovery of partial differential equations. Science Advances. 3: e1602614
Kunert JM, Proctor JL, Brunton SL, et al. (2017) Spatiotemporal Feedback and Network Structure Drive and Encode Caenorhabditis elegans Locomotion. Plos Computational Biology. 13: e1005303
Sudharsan M, Brunton SL, Riley JJ. (2016) Lagrangian coherent structures and inertial particle dynamics. Physical Review. E. 93: 033108
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