Benjamin Herrmann

Uses math and data to describe change. Fluiddynamicist and professor at @UCEngineering. #DynamicalSystems #DataDrivenModeling

[Steven Brunton @eigensteve]

I Wrote a New Book!!!

Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control

Pre-Order Now (July 31)
https://t.co/EoDMFapUUf

Coming Soon:

* Free PDF on website
* YouTube Videos for entire book
* Python code on GitHub

[Ricardo Vinuesa @ricardovinuesa]

I am delighted to share that we are starting a new series of YouTube research videos at @MichiganAero ! In the first video we will discuss how AI is transforming science and scientific discovery!
https://t.co/xpDe833oqu
Looking forward to your feedback

[JC Loiseau @loiseau_jc]

Happy to announce that 𝙻𝚒𝚐𝚑𝚝𝙺𝚛𝚢𝚕𝚘𝚟, our Fortran package for linear algebra based on 𝚊𝚋𝚜𝚝𝚛𝚊𝚌𝚝 types and Krylov methods is now in the Journal of Open Source Software @JOSS_TheOJ

👉 Paper : https://t.co/iSoIg8kEBc
👉 Code : https://t.co/CO3HSay22D

[Ricardo Vinuesa @ricardovinuesa]

We have developed a #Community #Challenge on #DataDriven Reduced-Complexity #Modeling of #Fluid Flows! The idea is to benchmark and share methods across three key tasks: #compression, #forecasting and #sensing!
📰#Paper: https://t.co/uQN2ZYCvSB
💻#Website: https://t.co/VMK4D98Vrk

[Rose Yu @yuqirose]

I'm hiring a postdoc on #AI for #science starting soon. We are building AI-enabled 3D human liver printing technology with many experts across disciplines!

If you are excited about this, drop me an email with your CV and a brief introduction! Repost is much appreciated!

[Walter Lacarbonara @walterlacarbona]

Save the Date: NODYCON 2026 in Rome! 🇮🇹
📅 September 20–23, 2026, Sapienza University of Rome
🔗 https://t.co/5vfe9jxi7Z
Excited to announce that the Fifth International Nonlinear Dynamics Conference (NODYCON 2026) will return to the heart of Rome, just steps from the Colosseum, after the successful 2019, 2021, and 2023 editions and the unforgettable 2025 event just held at Stevens Institute of Technology https://t.co/jfX0oQ6o71.
NODYCON carries forward the legacy of the conference series founded in 1986 by Prof. Ali H. Nayfeh and has become a global reference point for the nonlinear dynamics community.
💫 What's in the pipeline for #NODYCON2026.
6 Keynote Lectures by world-leading experts - Interactive Roundtables and Workshops - Student Competitions - Oral Sessions - An Awards Ceremony at the stunning Villa D’Este in Tivoli - Evening networking tours through iconic Roman landmarks.
Topics will span AI for nonlinear dynamics, reduced-order modeling, nonlinear control, metamaterials, experimental mechanics, smart materials, chaos, and more. All presented papers will be eligible for a peer-reviewed Special Issue in Nonlinear Dynamics (Springer Nature).
One-page abstracts will be published in the Conference Book of Abstracts.
📧 Questions? Write to: [email protected]
Let’s meet in Rome to share our vision about nonlinear dynamics research♥️.
#NODYCON2026 #NonlinearDynamics #Conference #AI #Chaos #Metamaterials #ExperimentalMechanics #Rome2026 #AcademicEvents #Sapienza #EngineeringResearch #CallForPapers #SpringerNature #NODYS

[Jason J. Bramburger @jbramburger7]

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: https://t.co/iUEfiznteB

[Ricardo Vinuesa @ricardovinuesa]

New in @JFluidMech! 🛩️
We study opposition control (OC) for turbulent boundary layers over wings with adverse pressure gradients: OC achieves up to 40% drag reduction! ✈️
📖 https://t.co/g9AES9dazo
👨‍💻 With Y. Wang and M. Atzori !!
#CFD #Turbulence #FlowControl #DragReduction

[FortranTip @fortrantip]

John Burkardt's huge collection of 800+ Fortran 90 codes for numerical methods, with drivers, is now on GitHub https://t.co/bFFZGF6rS7. The original site is https://t.co/LfUoKnHICB.

[Hunor Csala @csalahunor]

💻New paper out in Computers in Biology and Medicine:🩸 Physics-constrained neural differential equations (PCNDE) for 1D blood flow modeling
📜Full paper (free access for 50 days): https://t.co/UfnrpojeuF
📜arXiv version: https://t.co/DWh1sAkSm6

[Ricardo Vinuesa @ricardovinuesa]

🎥🎥 Very excited to start a new #video #series discussing #datadriven methods!! In this series we will explain the #dynamic #mode #decomposition (#DMD), and this week we start with an introduction to this method!! Send your feedback!!
#youtube video: https://t.co/o5rB0qHoZR

[Dr. Chris Rackauckas @ChrisRackauckas]

The problem of building surrogates #sciml for real-world industrial problems is not a problem of choosing neural network architectures, it's a problem of gathering the right training data from the model you're seeking to emulate. For more details see: https://t.co/NRBFkvVlIK

[Shervin Bagheri @BagheriShervin]

Our first paper on the interaction of biofilms and flow is out. Congratulations to Cornelius Witting to his first paper and for awesome work! Also excited to have our first publication funded by @ERC_Research project LUBFLOW.

https://t.co/ECRbWeHU4N

[Rose Yu @yuqirose]

Announced!📢 It is truly an honor to be amongst the cohort of PECASE awardees!
https://t.co/xFsJDgbVii

[Benjamin Herrmann @bherrmannp]

@ricardovinuesa Muchas felicitaciones por esta nueva etapa — ¡a tope con el 2025!

[Prof Jesse Capecelatro @jesse_caps]

This year's @apsfluiddynamic Gallery of Fluid Motion submissions are now online https://t.co/gCSO5uzxne! I can watch this all day: https://t.co/KMDid1WdGd

[Benjamin Herrmann @bherrmannp]

@ricardovinuesa It was really fun having you here!

[Michael Howland @MichaelFHowland]

🚨My lab at @MIT has multiple openings for fully funded PhD students! Topics include computational fluid dynamics, atmospheric flow, uncertainty quantification, renewable energy, and decarbonized power systems under climate change. App due Dec. 1st.
https://t.co/xxEdqqrIFt

[George Haller @GeorgeHallerETH]

A Ph.D. position is available at ETH Zurich in Data-Driven Nonlinear Model Reduction (a.k.a. Dynamics-Based Machine Learning) and its applications to large-scale physical problems. Interested candidates may apply here:
https://t.co/UGzYzLPdG2

[Research Centre in Data-Driven Engineering @dd_aero_eng]

We're excited for the EuroMech Colloquium on Data-Driven Fluid Dynamics & the 2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics!

Join us in London from April 2-4, 2025, for topics from fluid mechanics, data assimilation & ML.

Details here: https://t.co/hKpXR8KPOR