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!
My other publication from the #40thISOC is now online!
We studied the distribution of residence time in a scramjet cavity and developed some low-order models. Using these, we showed that the skewed shape of the distribution improves combustion stability.
https://t.co/WeD7rlqTZV
Happy to share that my recent work on rotating detonation engines is now online!
We studied how the inhomogeneous composition in the chamber distorts the detonation and how this distortion couples back to the inhomogeneity ahead of the next passing wave.
https://t.co/pdd5N8uxgW
Yesterday I had the pleasure of presenting at ICNC 2024 in Kyoto, Japan, continuing my work on adaptive combustion modeling in scramjets.
@Combustion_Intl
Excited to have our lab members present our research at ICNC in Kyoto, Japan!
Here’s our PI, Matthias, in his presentation on Machine Learning for Combustion.
@Combustion_Intl
Rotating detonation engines are next-gen propulsion systems that promise better thermo efficiency 🚀
Check out our new paper (coauthored by @MatthewBonanni) where we performed high-fidelity sims and developed a wavenumber analysis method.
Link: https://t.co/7FqhU7rWuE
Introducing a new simulation framework that leverages advances on @TensorFlow and TPU architecture to enable efficient large-scale simulations of turbulent flows (e.g., for cloud formation, wildfires, and more) at unprecedented scale. Learn more at https://t.co/axz1own3Xm
Wildfires are increasingly relevant in a world with changing climate.
In this collab with @Google, we developed predictive models for wildfire spread with ML approaches
Check out this @FireTechnology paper co-authored by PhD student @MatthewBonanni:
https://t.co/18WxIWzC32
During my PhD I've also had the opportunity to work on modeling wildfires. I'm happy to share that this work was recently published, in which we used recurrent neural networks to model wildfire spread behavior at fine time scales: https://t.co/MMqsbn6byH
I had a great time attending ICDERS 2023 this year in Seoul! I presented two works, both based on LES:
In the first, we used a Lagrangian analysis technique to characterize the inhomogeneities that occur due to the nonpremixed injection systems in RDREs