If you missed the session with Conor Daly on Physics-Informed Neural Networks yesterday, it's now online on YouTube: https://t.co/n79Aq4lHyJ
#matlab#engineering#pinns#coding@MathWorks
My podcast with Conor Daly: https://t.co/ZCV4HPpf2u 🎙️
Physics-Informed Neural Networks (PINNs) integrate known physical laws into neural network learning, particularly for solving differential equations.
Going live in 3 hours 🎙️ 🔴
Process Automation for #MechanicalEngineering - how to leverage Low-Code to automate engineering processes, fostering agile hardware development while seamlessly connecting CAx tools.
👉 https://t.co/mGAaJ2Kg2r
⚡F1 Car rear wing DRS activation - CFD simulation⚡
The drag reduction system (DRS) is a form of driver-adjustable bodywork aimed at reducing aerodynamic drag in order to increase top speed and promote overtaking.
Simulation Owner: Luke Morgan
🎙️ Upcoming Podcast on #PINNs - Ask Conor Daly 🎙️
I will be interviewing Conor from @MathWorks in ~2 weeks. Tweet us questions about Physics-Informed Neural Networks in the comments, and we'll cover them in our discussion!
🎥 Podcast will go live here: https://t.co/oLfeTDDi1J
🎙️ Going live this Friday 🎙️ Engineering & PhD Life – Miguel Alfonso Mendez | Podcast #116
👉 https://t.co/01gGWMIPS1
📕 Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning : https://t.co/IgBaRUEj2t
Yesterday, I had the pleasure of meeting @Jousefm2 for the first time in person. We spent a great afternoon together and recorded an episode for his podcast.
Looking forward to meeting you again, @Jousefm2. Maybe next time in Munich 😉.
Book of the Week – Introduction to #FEM 📚
This book will enable the reader to understand the concepts involved in this traditionally complicated methodology.
Have a great weekend folks! ❤️
📚 Order book here: https://t.co/EL7O3hGe5l