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⚙️ Science can amuse and fascinate us all, but it is engineering that changes the world.
Hey friends & nerds! 👋
Welcome to the Sunday Science Newsletter where we explore science, systems & tools that help us become smarter scientists.
🎙️ FEA Development, MoFEM & Crack Propagation
Developing and Validating FEA Code👨💻
Open Source vs. Commercial Code 🌎
FEM for crack propagation 📈
Pros & Cons of meshless methods 📚
AI for FEM 💻
And much more…
💻 FEBio - Multiphysics Finite Element Simulations in Biomechanics & Biophysics
FEBio is a software tool for nonlinear finite element analysis in biomechanics and biophysics and is specifically focused on solving nonlinear large deformation problems in biomechanics and biophysics. Aside from structural mechanics, it can also solve problems in mixture mechanics (i.e. biphasic or multiphasic materials), fluid mechanics, reaction-diffusion, and heat transfer.
🤓Machine Learning for Fluid Mechanics
This paper outlines fundamental ML methodologies and discuss their uses for understanding, modeling, optimizing, and controlling fluid flows. The strengths and limitations of these methods are addressed from the perspective of scientific inquiry that considers data as an inherent part of modeling, experiments, and simulations.
📚 The Anatomy of a Dynamical System
Dynamical systems are how we model the changing world around us. This video explores the components that make up a dynamical system.
👨💻 1989 Computational Fluid Dynamics Highlights
🚴 CFD "Superman" Cyclist
The analysis is performed by Computational Fluid Dynamics (CFD) simulations with the 3D RANS equations and the Transition SST k-ω model. The simulations are validated wind tunnel measurements. The results are analyzed in terms of frontal area, drag area and surface pressure coefficient.
💻 Engineering Tool of the Week – ΦFlow - Open-Source Simulation Toolkit
ΦFlow is an open-source simulation toolkit built for optimization and machine learning applications. It is written mostly in Python and can be used with NumPy, PyTorch, Jax or TensorFlow.
📚 Book of the Week
An Introduction to Statistical Learning: with Applications in R
The 2nd edition of An Introduction for Statistical Learning (with R examples) is out! The book includes code examples with #R.
The second edition includes the following topics:
- Sparse methods for classification and regression
- Decision trees
- Boosting
- Support vector machines
- Clustering
🙃 Meme of the Week
🔗 Important Links
📈 APEX Marketing - Marketing Superpowered. We help your company to be seen.
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⚙️ MATLAB & Simulink - A Hands-On Course for Beginners
🎬 Animation of the Week
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Keep engineering your mind! 🧠
Jousef