Steven Brunton @eigensteve
Teaches math to engineers: https://t.co/TJ5i3Pg678 Professor @UW researching #MachineLearning for #Dynamics and #Control, especially for #FluidDynamics. eigensteve.com Joined April 2016-
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Had an interesting discussion with a colleague about the merits of #Fortran and #Python for an undergrad class (ME not CS) on numerical linear algebra. Having just migrated my personal webpage, I figured I'll start a technical blog and write about it. 👉 tinyurl.com/3a4dfcnu
Extremely proud of our recent "Lost in Latent Space" paper by our amazing @PolymathicAI intern @FrancoisRozet ! How far do you think we can/should compress ? What is needed in the latent space to keep rolling out the physics right across so many scales?
Extremely proud of our recent "Lost in Latent Space" paper by our amazing @PolymathicAI intern @FrancoisRozet ! How far do you think we can/should compress ? What is needed in the latent space to keep rolling out the physics right across so many scales? https://t.co/IoYFQglL6I
I now have a full @YouTube playlist of video lectures with coding demonstrations that accompanies every chapter of my book! Check it out here: youtube.com/watch?v=A1AvIj…
New Video Series: Statistics & Data Analysis! youtube.com/watch?v=QIXUTs… 35 videos, 10 hours: Random sampling, Central limit theorem, Distribution estimation, Method of moments, Maximum likelihood estimation, Hypothesis testing, Monte Carlo sampling, Bayesian statistics, and more!
What if a spacecraft could cycle between Earth and Moon orbits, performing multiple circuits of each, naturally and indefinitely, with zero propulsion? We’ve discovered a new class of stable, prograde, low-energy cycler orbits that do just that. Why these orbits matter:…
🧠💨 New from #VinuesaLab in @CommsEng (@NaturePortfolio): We use multi-agent #DRL to control 3D turbulent flows, achieving up to 21% drag reduction on cylinders! First-ever MARL training on 3D cylinders 🚥 🌀 Stabilized wakes 💡 Efficient control 🔗 nature.com/articles/s4417…
I've done it! I've finished the complete series of video lectures to complement my book. Here's the last one on model identification with autoencoders: youtube.com/watch?v=cFpyjE…
Honored to be featured in @BBCFuture’s article: “How aircraft designers are beating rising turbulence” ! ✈️ Proud to play a part in pushing aviation safety forward with XAI and DRL!! @BBC bbc.com/future/article… #FlightTech #Turbulence #ClimateAction #AviationInnovation
General relativity 🤝 neural fields This simulation of a black hole is coming from our neural networks 🚀 We introduce Einstein Fields, a compact NN representation for 4D numerical relativity. EinFields are designed to handle the tensorial properties of GR and its derivatives.
New Book & Video Series!!! (late 2025) Optimization Bootcamp: Applications in Machine Learning, Control, and Inverse Problems Comment for a sneak peak to help proofread and I'll DM (proof reading, typos, HW problems, all get acknowledgment in book!)
🎉 Great news: Our Machine Learning and Physical Sciences workshop at @NeurIPSConf will be back again this year! 🎉 Keep an eye out for updates on deadlines etc, we will be updating the website soon ml4physicalsciences.github.io #ML4PS2025 @ML4PhyS
Honored to receive the 2025 Harleman Lecture Award at the #IAHR2025 World Congress in Singapore 🇸🇬 Grateful to the IAHR community and proud to contribute to the future of AI for fluid mechanics! #AI #ML #FluidMechanics #Sustainability #Singapore
The final chapter of my book is on autoencoder neural networks. This lecture starts with the theory: youtube.com/watch?v=tn61dh…
We present Panda: a foundation model for nonlinear dynamics pretrained on 20,000 chaotic ODE discovered via evolutionary search. Panda zero-shot forecasts unseen ODE best-in-class, and can forecast PDE despite having never seen them during training (1/8) arxiv.org/abs/2505.13755
🌀Just out in @NatMachIntell: Can generative AI enhance fluid simulations? We explore how diffusion models enable fast, interpretable, stochastic flow modelling, reshaping the simulation pipeline. 📝 With Luca Guastoni 🔗 nature.com/articles/s4225… #FluidMech #AI #DiffusionModels
Releasing the Energy-Book 🔋 from its first appendix's chapter, where I explain how I create my figures. 🎨 Feel free to report errors via the issues' tracker, contribute to the exercises, and show me what you can draw, via the discussion section. 🥳 github.com/Atcold/Energy-…
Plankton of symmetric attractors Made with #sympy #numpy #matplotlib
Today, NSF announced an add’l 500 NSF Graduate Research Fellowship Program awardees for the 2025-2026 cohort, bringing the total to approx 1,500. #NSFGRFP supports grad students as they pursue their dreams, build STEM skills, & become the next generation of innovators & leaders.
We now have another open Ph.D. position at ETH Zurich in data-driven nonlinear reduced-order modelling, with applications in system ID and control. Interested candidates may apply here: jobs.ethz.ch/job/view/JOPG_…

Gabriel Peyré @gabrielpeyre
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J. Chem. Eng. Researc... @jcerp_id
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Christoph Molnar 🦋... @ChristophMolnar
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Nature Computational ... @NatComputSci
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