Steven L Brunton

16PUBLICATIONS
27CO-AUTHORS
Reinforcement learningPhylogeny and comparative analysisComputational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)Non-Newtonian fluid flows (incl. rheology)Integrable systems (classical and quantum)
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (16)

|Nov 28, 2025
SINDy-RL for interpretable and efficient model-based reinforcement learning.

Nicholas Zolman, Christian Lagemann, Urban Fasel

|Sep 24, 2025
Arousal as a universal embedding for spatiotemporal brain dynamics.

Ryan V Raut, Zachary P Rosenthal, Xiaodan Wang

|Nov 04, 2024
Lagrangian gradient regression for the detection of coherent structures from sparse trajectory data.

Tanner D Harms, Steven L Brunton, Beverley J McKeon

|Oct 29, 2024
Nonlinear parametric models of viscoelastic fluid flows.

C M Oishi, A A Kaptanoglu, J Nathan Kutz

|Jun 28, 2024
Promising directions of machine learning for partial differential equations.

Steven L Brunton, J Nathan Kutz

|Jun 12, 2024
Towards extending the aircraft flight envelope by mitigating transonic airfoil buffet.

Esther Lagemann, Steven L Brunton, Wolfgang Schröder

Pageof 3

Frequent Collaborators

6 joint publications

J Nathan Kutz

3 joint publications

Bingni W Brunton

2 joint publications

Christian Lagemann

2 joint publications

Beverley J McKeon