Publications

Books

S. L. Brunton and J. N. Kutz

Book website (code and videos): http://databookuw.com/

J. N. Kutz, S. L. Brunton, B. W. Brunton, J. L. Proctor

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Journal Papers

Randomized CP Tensor Decomposition

N. B. Erichson, K. Manohar, S. L. Brunton, and J. N. Kutz

Machine Learning: Science and Technology, 1(2):025012, 2020

Robust Principal Component Analysis for Particle Image Velocimetry

I. Scherl, B. Strom, J. K. Shang, O. Williams, B. L. Polagye, and S. L. Brunton

Physical Review Fluids, 5:054401, 2020. (Editors’ Suggestion)

Learning precisely timed feedforward control of the sensor-denied inverted pendulum

T. L. Mohren, T. L. Daniel, and S. L. Brunton
IEEE Control System Letters, 4(3):731–736, 2020

Sparse principal component analysis via variable projection

N. B. Erichson, P. Zeng, K. Manohar, S. L. Brunton, J. N. Kutz, and A. Y. Aravkin

SIAM Journal on Applied Mathematics, 80(2):977–1002, 2020

PySINDy: A Python Package for the Sparse Identification of Dynamics from Data

B. de Silva, K. Champion, M. Quade, J.-Ch. Loiseau, J. N. Kutz, and S. L. Brunton

Journal of Open Source Software, 5(49): 2104, 2020

Discovery of physics from data: Universal laws and discrepancy models

B. de Silva, D. M. Higdon, S. L. Brunton, and J. N. Kutz
Frontiers in Artificial Intelligence, 3:1–25, 2020

Modal Analysis of Fluid Flows: Applications and Outlook

K. Taira, M. S. Hemati, S. L. Brunton, Y. Sun, K. Duraisamy, S. Bagheri, S. T. M. Dawson, and C.-A. Yeh

AIAA Journal, 58(3):1–25, 2020

Characterizing magnetic plasmas with dynamic mode decomposition

A. A. Kaptanoglu, K. D. Morgan, C. J. Hansen, and S. L. Brunton

Physics of Plasmas, 27:032108, 2020

Dynamic mode decomposition for compressive system identification

Z. Bai, E. Kaiser, J. L. Proctor, B. W. Brunton, J. N. Kutz, and S. L. Brunton

AIAA Journal, 58(2):561–574, 2020

S. L. Brunton, B. R. Noack, and P. Koumoutsakos

Annual Review of Fluid Mechanics, 52:477--508, 2020

Randomized methods to characterize large-scale vortical flow networks

Z. Bai, N. B. Erichson, M. Gopalakrishnan Meena, K. Taira, and S. L. Brunton

PLoS ONE, 14(11):e0225265, 2019

Data-driven discovery of coordinates and governing equations

K. Champion, B. Lusch, J. N. Kutz, and S. L. Brunton
Proceedings of the National Academy of Sciences, 116(45):22445–22451, 2019

Robust flow reconstruction from limited measurements via sparse representation

J. L. Callaham, K. Maeda, and S. L. Brunton
Physical Review Fluids, 4:103907, 2019

Randomized dynamic mode decomposition

N. B. Erichson, L. Mathelin, J. N. Kutz, and S. L. Brunton

SIAM Journal on Applied Dynamical Systems, 18(4):1867–1891, 2019

S. H. Rudy, S. L. Brunton, and J. N. Kutz

Journal of Computational Physics , 398:108860 , 2019

S. H. Rudy, J. N. Kutz, and S. L. Brunton

Journal of Computational Physics , 396:483–506 , 2019

C. Gong, N. B. Erichson, J. P. Kelly, L. Trutoiu, B. T. Schowengerdt, S. L. Brunton, and E. Seibel

IEEE Transactions on Medical Imaging , 38(8):1993–2004 , 2019

A. Nair, C.-A. Yeh, E. Kaiser, B. R. Noack. S. L. Brunton, and K. Taira

Journal of Fluid Mechanics , 875:345--375 , 2019

S. L. Brunton, and J. N. Kutz

Journal of Physics: Materials , 2:044002 , 2019

N. B. Erichson, S. Voronin, S. L. Brunton, and J. N. Kutz

Journal of Statistical Software , 89(11):1–48 , 2019

S. Rudy, A. Alla, S. L. Brunton, and J. N. Kutz

SIAM Journal on Applied Dynamical Systems, 18(2):643–660, 2019

E. Clark, T. Askham, S. L. Brunton, and J. N. Kutz

IEEE Sensors Journal, 19(7):2642–2656, 2019

N. M. Mangan, T. Askham, S. L. Brunton, J. N. Kutz, and J. L. Proctor

Proceedings of the Royal Society A, 475(20180534), 2019

K. P. Champion, S. L. Brunton, and J. N. Kutz

SIAM Journal on Applied Dynamical Systems, 18(1):312–333, 2019

K. Manohar, E. Kaiser, S. L. Brunton, and J. N. Kutz

SIAM Multiscale Modeling and Simulation, 17(1):117–136, 2019

P. Zheng, T. Askham, S. L. Brunton, J. N. Kutz, and A. Y. Aravkin

IEEE Access, 7(1):1404--1423, 2019

S. Gupta, P. Malte, S. L. Brunton, I. Novosselov

Fuel, 236:583--588, 2019

Y. Hu, S. L. Brunton, N. Cain, S. Mihalas, J. N. Kutz, and E. Shea-Brown

Physical Review E, 98:062312, 2018

B. Lusch, J. N. Kutz, S. L. Brunton

Nature Communications, 9(1):4950, 2018

E. Kaiser, J. N. Kutz, and S. L. Brunton

Proceedings of the Royal Society A, 474(2219), 2018

J. N. Kutz, J. L. Proctor, and S. L. Brunton

Complexity, 2018(6010634), 2018

T. Mohren, T. L. Daniel, S. L. Brunton, and B. W. Brunton

Proceedings of the National Academy of Sciences, 115(42):10564–10569, 2018

K. Manohar, T. Hogan, J. Buttrick, A. G. Banerjee, J. N. Kutz, and S. L. Brunton

Journal of Manufacturing Systems, 48(C):87-95, 2018

M. Quade, M. Abel, J. N. Kutz, and S. L. Brunton

Chaos, 28(6):063116, 2018

A. G. Nair, S. L. Brunton, and K. Taira

Physical Review E., 97(6):063107-1–063107-14, 2018

W. Guo, K. Manohar, S. L. Brunton, and A. G. Banerjee

IEEE Transactions on Knowledge and Data Engineering, 30(7):1403-1408, 2018

K. Manohar, B. W. Brunton, J. N. Kutz, and , S. L. Brunton

IEEE Control Systems Magazine, 38(3):63-86, 2018

J. C. Loiseau, B. R. Noack, and S. L. Brunton

Journal of Fluid Mechanics, 844:459–490, 2018

J. L. Proctor, S. L. Brunton, and J. N. Kutz

SIAM Journal of Dynamical Systems, 17(1):909-930, 2018

S. Sargsyan, S. L. Brunton, and J. N. Kutz

SIAM Journal on Scientific Computing, 40(1):B283–B304, 2018

T. Baumeister, S. L. Brunton, and J. N. Kutz

J. Optical Society of America B, 35(3): 617–626, 2018

J. C. Loiseau and S. L. Brunton

Journal of Fluid Mechanics, 838:42–67, 2018

E. Kaiser, M. Morzynski, G. Daviller, J. N. Kutz, B. Brunton, and S. L. Brunton

Journal of Computational Physics, 352:388–409, 2018

K. Taira, S. L. Brunton, S. T. M. Dawson, C. W. Rowley, T. Colonius, B. J. McKeon, O. Schmidt, S. Gordeyev, V. Theofilis, and L. S. Ukeiley

AIAA Journal, 55(12):4013–4041, 2017