Brunton, Steven L.

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

Brunton, S. L., Proctor, J. L., & Kutz, J. N. (2016) · Proceedings of the National Academy of Sciences

Model Reduction and Neural NetworksControl Systems and Identification

Cited by 4,796

Machine Learning for Fluid Mechanics

Brunton, S. L., Noack, B. R., & Koumoutsakos, P. (2020) · Annual Review of Fluid Mechanics

Model Reduction and Neural NetworksMachine Learning in Materials Science

Cited by 3,063

Data-driven discovery of partial differential equations

Rudy, S. H., Brunton, S. L., Proctor, J. L., & Kutz, J. N. (2017) · Science Advances

Model Reduction and Neural NetworksControl Systems and Identification

Cited by 1,557

Data-driven discovery of coordinates and governing equations

Champion, K., Lusch, B., Kutz, J. N., & Brunton, S. L. (2019) · Proceedings of the National Academy of Sciences

Model Reduction and Neural NetworksControl Systems and Identification

Cited by 909

Inferring biological networks by sparse identification of nonlinear dynamics

Mangan, N. M., Brunton, S. L., Proctor, J. L., & Kutz, J. N. (2016) · IEEE Transactions on Molecular, Biological and Multi-Scale Communications

Gene Regulatory Network AnalysisControl Systems and Identification

Cited by 436

Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning

Brunton, S. L., Nathan Kutz, J., Manohar, K., Aravkin, A. Y., Morgansen, K., Klemisch, J., Goebel, N., Buttrick, J., Poskin, J., Blom-Schieber, A. W., et al. (2021) · AIAA Journal

Advanced Aircraft Design and TechnologiesAerospace Engineering and Applications

Cited by 270

Discovery of nonlinear multiscale systems: Sampling strategies and embeddings

Champion, K. P., Brunton, S. L., & Kutz, J. N. (2019) · SIAM Journal on Applied Dynamical Systems

Model Reduction and Neural NetworksControl Systems and Identification

Cited by 171

Sparse identification of nonlinear dynamics for rapid model recovery

Quade, M., Abel, M., Nathan Kutz, J., & Brunton, S. L. (2018) · Chaos: An Interdisciplinary Journal of Nonlinear Science

Model Reduction and Neural NetworksControl Systems and Identification

Cited by 163

Finite Time Lyapunov Exponent Analysis of Model Predictive Control and Reinforcement Learning

Krishna, K., Brunton, S. L., & Song, Z. (2023) · IEEE Access

Mathematical Dynamics and FractalsQuantum chaos and dynamical systems

Cited by 12