Steven L Brunton

18PUBLICATIONS
36CO-AUTHORS
Multiphysics flows (incl. multiphase and reacting flows)Knowledge representation and reasoningReinforcement learningPhylogeny and comparative analysisComputational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)
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Publications (18)

|Aug 20, 2026
The HydroGym reinforcement learning platform for fluid dynamics.

|Aug 06, 2026
Explainable AI: learning from the learners.

|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

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Frequent Collaborators

6 joint publications

J Nathan Kutz

3 joint publications

Bingni W Brunton

3 joint publications

Christian Lagemann

2 joint publications

Ricardo Vinuesa