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: https://t.co/ExjVxB5fM3
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.
https://t.co/qFbEInR3yd
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
https://t.co/vadLHvq6cc
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.
https://t.co/Qb5KHgHeAt
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:
https://t.co/2ZhDnYNM5K
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: https://t.co/4Tx9eBfOt9
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: https://t.co/5mfYHvBOc8
🚀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!
https://t.co/5iLycPslG1
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.
https://t.co/txHflZu6Jb
We would also like to thank #Google for sharing and helping us postprocess the #FireBench dataset:
https://t.co/BWPjbeXKKq
This high-fidelity simulation data was the backbone of the challenge.
The #FLAMEAI 2024 Challenge has concluded! We were blown away by the reception of the event, with more than 400 participants and 2500 #ML model submissions on Kaggle...
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!