The Laboratory of Fluids in Complex Environments, Stanford Mechanical Engineering @StanfordEng. PI: Matthias Ihme.
Bldg. 530, Stanford University
Joined April 2022
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While you're taking a break from all the holiday parties, check out our recent paper on the health-impact analysis of the LA wildfires by combining satellite and simulation data!
More details here: doi.org/10.1021/acs.estlett.…
Experimenting on solid-liquid phase transition to wrap up our Fall quarter! We're wishing everyone happy holidays and a restful break ⛸️
New paper alert!
Here, we demonstrate assimilating sparse experimental data into detonation wave simulations using a two-step LETKF which allows robust reconstruction of key detonation structures.
doi.org/10.1016/j.proci.2025…
Proud to share our recent work, as the first experimental demonstration of a reinforcement-learning based method to control thermoacoustic instabilities! This offers a promising path towards efficient and adaptive control of thermoacoustic instabilities
kwnsfk27.r.eu-west-1.awstrac…
Throwback to yesterday, with our very own @MatthewBonanni in his PhD Defense!
We congratulate him for this tremendous achievement and wish him all the best for the future!
Check out our recent publication on using physics-informed #MachineLearning to study #Hydrogen jet flames! This novel framework enhances predictive accuracy for chemically reacting flows by integrating low-resolution physics models with neural networks.
doi.org/10.1016/j.combustfla…
We are proud to have our work featured in Stanford Report! Check out how altering burn conditions in prescribed forest fires makes it safer and cleaner:
news.stanford.edu/stories/20…
Check out this article about our collaboration with @SLAClab in investigating supercritical fluids!
phys.org/news/2024-12-molecu…
In our recent work in PRL, we present a physical model to elucidate the relation between energy exchange and heterogeneous cluster dynamics during the supercritical transition, revealing the mechanism behind the nonlinear thermodynamic behavior of supercritical fluids:
In our most recent paper, we reveal the ultrafast dynamics of molecular clusters in supercritical CO₂, bridging the gap between ballistic & diffusive motion. Using XPCS & MD simulations, we uncover how cluster dynamics impact transport properties
Link: nature.com/articles/s41467-0…
Don't miss our new study on the interfacial dynamics of immiscible propellants at #supercritical pressures!
We are able to resolve liquid/vapor interfacial dynamics that significantly impacts atomization and mixing in LOX/GH2 #combustion systems.
Link: doi.org/10.1016/j.ijmultipha…
🚀New Addition to #BLASTNet! 🔥
We’ve just added 7.2 TB (!) of Rayleigh-Bénard Convection #DNS data to BLASTNet—a goldmine for #turbulence researchers & #ML enthusiasts. Dive into high-fidelity simulations and push the boundaries of predictive modeling!
blastnet.github.io/roshan202…
This dataset is part of the research by Roshan Samuel and Mathis Bode -- Dive deeper into their work (doi.org/10.1017/jfm.2024.853)
Congrats, Dr. Muhunthan! 🎓
Throwback to Priyanka's PhD Defense last Tuesday, where she presented her work on understanding #Supercritical #Fluids using #XRay techniques and atomistic simulations.
We wish her all the best for the future! 🎉
Exciting news!
In our recent paper, we showed that #ReactingFlows in #PorousMedia exhibit feature that parallels #Turbulence in unconfined flows, providing theoretical underpinning of enhanced mixing and #Combustion efficiencies at these conditions.
doi.org/10.1103/PhysRevFluid…
We would also like to thank #Google for sharing and helping us postprocess the #FireBench dataset:
arxiv.org/abs/2406.08589
This high-fidelity simulation data was the backbone of the challenge.
Kaggle’s support in this challenge has also been vital as they not only sponsored the prize pool but have also given invaluable support in the setup of the challenge. First place will be awarded $2,500, second place $1,500 and third place $1,000!
We deeply thank all the speakers who gave wonderful talks highlighting the need for accurate models for environmental flows, covering a diverse range of topics in this challenge!
@ymatias @MarshallBBurke @ricardovinuesa @russpoldrack @AmirBaratiF @BenBlaiszik @WalterReade