An Engineering Career Guide, PINNs for FEM, QC in MATLAB
📚 Fail. Learn. Repeat.
🎙️An Engineering Career Guide - Jeff Perry | Podcast #96
💦 High Quality Fluid Mechanics Video Collection
In 1961, Ascher Shapiro founded the National Committee for Fluid Mechanics Films (NCFMF) in cooperation with the Education Development Center and released a series of 39 videos and accompanying texts which revolutionized the teaching of fluid mechanics.
📚 Can Physics-Informed Neural Networks beat the Finite Element Method?
TL;DR: “Considering the solution time and accuracy, PINNs cannot beat the finite element method in our study.”
The recent success of deep neural networks at various approximation tasks has motivated their use in the numerical solution of PDEs. These so-called physics-informed neural networks and their variants have been shown to successfully approximate a wide range of partial differential equations. So far, physics-informed neural networks and the finite element method have mainly been studied in isolation.
🏎 What is an Aero Map?
A map is a way of visualising the relationship between different parameters. For example, a geographical map can show altitude as a function of longitude and latitude. In the case of a racecar the aerodynamic lift, drag and balance can be shown as a function of car set-up such as front and rear ride height or rear wing angle. So, an aero map effectively visualises the relationship between the geometrical properties and the aerodynamic properties of a racecar.
⚛️ Quantum Computing with MATLAB
With MATLAB Support Package for Quantum Computing, you can:
Build circuits to implement quantum algorithms using a variety of built-in and customizable composite gates
Verify implementation of algorithms using simulations in your local computer or connect to a remote simulator through cloud services
Execute quantum algorithms by connecting to quantum computing hardware through cloud services
Visualize circuits to verify implementations of the algorithms and individual qubits, as well as analyze and plot results
💻 Engineering Tool of the Week – PyFR
PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. The current release (PyFR 1.14.0) has the following capabilities:
Governing Equations - Euler, Navier Stokes
Dimensionality - 2D, 3D
Element Types - Triangles, Quadrilaterals, Hexahedra, Prisms, Tetrahedra, Pyramids
📚Book of the Week
A First Course in the Finite Element Method, Enhanced Edition
This unique book is written so you can easily comprehend content without the usual prerequisites, such as structural analysis. This book is ideal, whether you are a civil or mechanical engineering student primarily interested in stress analysis and heat transfer, or you need a foundation for applying FEM as a tool in solving practical physical problems.
New and expanded real-world examples and problems demonstrate FEM applications in a variety of engineering and mathematical physics-related fields. Each chapter uses a consistent structure with step-by-step, worked-out examples, ideal for undergraduate or graduate-level study. A new WebAssign digital platform provides additional online resources to clarify concepts and assist you in completing assignments.
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Keep engineering your mind! 🧠
Jousef