./episode_21.sh
There is no substitute for hard work.
Hey friends!
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Turbulence Closure Models
Turbulent fluid dynamics are often too complex to model every detail. Instead, we tend to model bulk quantities and low-resolution approximations. To remain physical, these reduced approximations of the Navier-Stokes equations must be "closed", and turbulence closure modeling is one of the most important topics in high-performance computing and scientific computing. This video describes several leading approaches, including the Reynolds averaged Navier Stokes (RANS) equations and large eddy simulations (LES).
Schmidt Coupling
A Schmidt couple is used to transmit torque between two shafts that are not perfecty aligned. As you can see, the shafts can be out of alignment for quite a reasonable distance with still perfect torque transmission.
Fluid Dynamics Simulation - Interactive Simulator
The simulation uses a fairly simple lattice-Boltzmann algorithm, which you can see by viewing the JavaScript source code (use your browser's View Source or Page Source menu command).
Flapping foils for animal locomotions
Some python postprocessing files for flapping foil.
Upcoming Podcast
Friday Episode
Coming Friday at 6pm CET, I will release a new special podcast episode #50 with Steve Brunton! Steve’s research focuses on combining techniques in dimensionality reduction, sparse sensing, and machine learning for the data-driven discovery and control of complex dynamical systems. He is also interested in how low-rank coherent patterns that underlie high-dimensional data facilitate sparse measurements and optimal sensor and actuator placement for control.
Topic: Machine Learning For Fluid Mechanics 🌀
Went Live This Week
A new podcast with Yannic Kilcher went live this week!
You will learn about:
Adversarial Examples
AI Bias and much more!
At the end we did a funny meme review!
Topic: Adversarial Examples, AI Bias & Memes 🧠
Early Access to future episodes: https://patreon.com/theengiineer
Visualize Ideas
"The happiness of your life depends upon the quality of your thoughts."
– Marcus Aurelius
Follow me on Instagram to see more of my designs! You can order my canvases my sending me a DM on my socials.
Book of the Week
Deep Learning with PyTorch
Deep Learning with PyTorch teaches you to create neural networks and deep learning systems with PyTorch. This practical book quickly gets you to work building a real-world example from scratch: a tumor image classifier. Along the way, it covers best practices for the entire DL pipeline, including the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. After covering the basics, the book will take you on a journey through larger projects. The centerpiece of the book is a neural network designed for cancer detection. You'll discover ways for training networks with limited inputs and start processing data to get some results. You'll sift through the unreliable initial results and focus on how to diagnose and fix the problems in your neural network. Finally, you'll look at ways to improve your results by training with augmented data, make improvements to the model architecture, and perform other fine tuning.
📕 Use the code "podengineered20" to get a 40% discount!
Tool of the Week
GitKraken
Over 2 million developers worldwide rely on GitKraken to get their work done. Our team is dedicated to making tools that help software developers be more productive - it’s truly our passion. Since 2014, we’ve been rapidly developing the legendary cross-platform GitKraken Git GUI while reimagining an intuitive, visual approach to Git. You can use the cross-platform Git Client to visualize file history and changes to your repos in a beautiful graph; simplify complicated Git commands, like rebase and cherry-pick, into drag-n-drop actions; and make quick edits directly to your code within the app.
Favourite Animation
Meme of the Week
model.get_layer(name=meme_0)
Closing Remarks
If you have any wishes for video topics, you can submit them in this form. Apart from that you can always reach out to me via Twitter or Instagram or LinkedIn, so let’s connect!
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See you next week and in the meantime, make sure to keep engineering your mind!
Jousef