💧 AI for Fluid Mechanics, Sustainability & XAI – Ricardo Vinuesa | Podcast #81
📈 APEX Consulting: https://theapexconsulting.com 🌎 Website: http://jousefmurad.com Dr. Ricardo Vinuesa is an Associate Professor at the Department of Engineering Mechanics, at KTH Royal Institute of Technology in Stockholm. He is also a Researcher at the AI Sustainability Center in Stockholm and Vice Director of the KTH Digitalization Platform. He received his Ph.D. in Mechanical and Aerospace Engineering from the Illinois Institute of Technology in Chicago. His research combines numerical simulations and data-driven methods to understand and model complex wall-bounded turbulent flows, such as the boundary layers developing around wings, obstacles, or the flow through ducted geometries. He has also led several international initiatives within sustainable and interpretable AI, which have led to highly influential articles in the literature. Dr. Vinuesa’s research is funded by the Swedish Research Council (VR) and the Swedish e-Science Research Centre (SeRC). He has also received the Göran Gustafsson Award for Young Researchers. 🌍 Web of Ricardo's research group: https://www.vinuesalab.com/ 🌍 His course on machine learning and engineering at KTH (planning on making some material available): https://www.kth.se/student/kurser/kur... 🌍 High-fidelity simulation of turbulent wing: • DNS Re=400000 NACA4412 🌍 AI and sustainability: https://scholar.google.com/citations?... 🧠 AI and interpretability: https://www.nature.com/articles/s4225... ✍️ Articles on temporal predictions in turbulence through deep learning: – https://journals.aps.org/prfluids/abs... –https://www.sciencedirect.com/science... ✍️ Articles on non-intrusive sensing through deep learning: – https://www.cambridge.org/core/journa... – https://aip.scitation.org/doi/10.1063... ✍️ Article on RANS modelling through deep learning: – https://aip.scitation.org/doi/full/10... ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 💌 My weekly science newsletter - https://jousef.substack.com/ 📸 Instagram - / jousefmrd 🐦 Twitter - / jousefm2 SUPPORT MY WORK ================= 👕 Science Merch: https://engineered-mind.creator-sprin... 👉 Subscribe to my Science Blog: https://www.jousefmurad.com/#/portal/... 👉 Become my Patreon: / theengiineer 🧠 Subscribe for more free videos: https://bit.ly/2RLmMxq RECOMMENDATIONS ================== 🎥 1 Month Free of Skillshare Premium: https://bit.ly/3E3bXwC 📕 Books on AI, Data Science & Programming: https://bit.ly/2I1lUD1 - use "podengineered20" to get a 40% discount! CONTACT: ----------------- If you need help or have any questions or want to collaborate feel free to reach out to me via email: [email protected] #cfd #simulation #machinelearning Disclaimer: Some of these links are affiliate links which make me earn a small commission when you make a purchase at no additional cost to you. TIME STAMPS ----------------------- 0:00 : Intro 4:15 : What is Turbulence? 6:17 : Why use AI for Fluid Mechanics? 11:44 : Where to get your data from? 18:11 : AI for Simulation vs. AI for Test Data 21:32 : Does Test Complement Simulation & Vice Versa 24:03 : Recommendation System for CFD Engineers 28:31 : How to get Started Building a NN for CFD 33:05 : Verification & Validation in CFD 35:35 : Why Should Models not be a Black-Box 39:00 : Limitations of the Approaches 41:50 : Sustainable AI 46:22 : Government Funding on AI Projects 51:14 : The End Goal of Using AI for Aerodynamics 54:29 : Explainability vs. Interpretability 58:30 : What courses would Ricardo pick if he was a student again? 1:00:36 : Advice for Students Podcast Recorded: July, 1st 2022 - Subscriber Release Count: 18,678.
