Great to have the opportunity to give a 1.5-hour tutorial on Generative AI for forward and inverse modeling of complex physical systems at BIRS UQ in Neural Network Workshop. It was a great experience!
This week at BIRS: Uncertainty Quantification in Neural Network Models birs.ca/events/2025/5-day-wo…
📣 Excited to share our #CoNFiLD work (Conditional Neural Field Latent Diffusion Model for Transient Turbulence) is now published in Nature Communications! Check it out here: doi.org/10.1038/s41467-024-5….
#FluidDynamics #GenerativeAI #DigitalTwins #AI4Science #CoMSAIL
Our paper on integrating differentiable CFD with generative diffusion modeling for spatiotemporal turbulence is now published in #CMAME! A hybrid neural solver that combines generative AI and numerical PDEs through differentiable programming. Check it out sciencedirect.com/science/ar…
Happy to share our recent npj compute mater paper, "Probabilistic Physics-Integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process," - application of neural differentiable modeling for composite manufacturing. nature.com/articles/s41524-0…
Our paper "Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics" finally got published on Nature portfolio journal - Communications Physics nature.com/articles/s42005-0…. A physics-integrated hybrid neural differentiable model.
Excited to share our recent CMAME publication - "Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation". You can access the paper @ sciencedirect.com/science/ar…
More results can be found @ sites.nd.edu/jianxun-wang/ba…
#AI4Science #SciML #CoMSAIL
Jian-Xun Wang retweeted
And a big thank you to the invited speakers (@AnimaAnandkumar, @eigensteve, @MilesCranmer, Tarek Echekki, @shoyer, George Karniadakis, @314159K, @aaron_lou, @AlessParente, @WalterReade, @AlexTamkin, @wertyfg, and Shashank Yellapantula) for great talks on SOTA SciML!
Jian-Xun Wang retweeted
Speaker Announcement! 🚨
Prof @wertyfg will be speaking on "Differentiable Hybrid Neural Modeling for Spatiotemporal Physics"
Join (by Aug 22 )the FLAME AI workshop on Sept 5 to 15!
Stay tuned for more updates!
Link: flame-ai-workshop.github.io
Jian-Xun Wang retweeted
Introducing the newest addition to our family, Baby Ryan, born on 8/8/2023! 👶💕🎂🍼
Congratulations to Dr. Han Gao and Dr. Luning Sun, the very first two PhDs from my group, on successfully defending their dissertations! Their incredible achievements during this five-year journey are truly inspiring. Wishing them both continued success in their future endeavors.
Jian-Xun Wang retweeted
Students reporting From the Future, featuring 3 @NotreDame faculty doing amazing work in #AI. @wjscheirer @wertyfg @tim_weninger @CSE @AME
ndsmcobserver.com/2023/02/fr…
Jian-Xun Wang retweeted
I’m truly grateful for all the support I have received over the years from my great colleagues, collaborators and students.
An endowed chair is one of the highest honors in the University, signifying distinctive achievement in one's field. Well deserved, Prof. Luo!
engineering.nd.edu/news/teng…
Thanks for the support from the Lucy Institute!
Excited to announce the Lucy Family Institute for Data & Society Transformative Proposal awardees! We awarded 13 projects that involve collaboration among all @NotreDame colleges to truly create an interdisciplinary construct to address wicked problems. bit.ly/3bEjwks
Happy to be selected to the list of 2022 Top 10 Outstanding Chinese American Youth, during Asian American and Pacific Islander Heritage Month! lapost.us/?p=47895 @AeroMechND @NDengineering @ND_ECI @lucy_institute @NotreDameEnergy
Jian-Xun Wang retweeted
What is happening in CA is tragic. It seems a high pain:benefit ratio for outsiders who can see the train wreck that the revised mathematics framework will bring to CA. If you care about improved math proficiency as an economic gateway for all children, please ask these leaders:
Happy to share our work "Predicting Physics in Mesh-Reduced Space with Temporal Attention", which has been accepted to ICLR 2022. This is a collaborative work with Tufts and DeepMind. Arxiv link: lnkd.in/dxvZRXWC.
Congrats to my student Pan Du on winning the 2nd-place poster award at Fall Symposium of Lucy Family institute for Data Science and Society. The award was presented by the mayor of South Bend with such a big check for $200😂 @AeroMechND
Jian-Xun Wang retweeted
Congratulations @AeroMechND prof. Jian-Xun Wang, 2021 NSF CAREER Award recipient!
Wang's work focuses on #data-augumented #cardiovascular #modeling
Story ➡️ engineering.nd.edu/news/jian…
Our paper "Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels" has been published on Physics of Fluids as Editor's Pick. First time enabling parametric inference of inlets. aip.scitation.org/doi/10.106…























