Lattice Optimization, Mathematics of Turbulent Flows & Low-Code AI in MATLAB
🧠 “One must be sane to think clearly, but one can think deeply and be quite insane.” - Nikola Tesla
💻 Design Smarter with HyDesign and Lattice Optimisation
💻 Mathematics of Turbulent Flows: A Million Dollar Problem!
Turbulence is a classical physical phenomenon that has been a great challenge to mathematicians, physicists, engineers and computational scientists. Chaos theory has been developed in the end of the last century to address similar phenomena that occur in a wide range of applied sciences, but the eyes have always been on the big ball – Turbulence.
As such, the Navier-Stokes equations form the main building block in any fluid model, in particular in global climate models. Whether the solutions to the three-dimensional Navier-Stokes equations remain smooth, indefinitely in time, is one of the most challenging mathematical problems. In this talk you will learn the layman language, the main challenges that the different scientific communities facing while attempting to attack this problem.
💧Understand the Physics of Re-Entry Vehicles Using Numerical Modeling and Simulation
Recreating the atmospheric conditions of Mars is a challenging task. Traditional continuum mechanics assumptions are ineffective at high Mach numbers and low densities, making it difficult to replicate re-entry velocity and temperature in wind tunnels. In such situations, numerical methods and computer simulations help understand the underlying physics of re-entry vehicles.
In this detailed case study, learn about computation methodology, atmospheric chemistry modelling, and test cases for vehicle re-entry into the Mars atmosphere.
🤖 Low-Code AI in MATLAB R2023b
Updates for explainability in the Classification Learner and Regression Learner apps. You can now use LIME and Shapley to explain how trained models predict locally.
💻 Higher crash safety of composites through simulation with LS-DYNA
Crashworthiness is one of the most critical factors that every car manufacturer must take into account during the development phase of a vehicle. The safety of occupants and pedestrians depends largely on the vehicle's crashworthiness. An optimal vehicle body design for crash performance ensures that occupants and pedestrians are maximally protected in traffic accidents.
At the same time, regulations for vehicle crashworthiness are becoming increasingly stringent. To reliably and efficiently predict and demonstrate the crashworthiness of lightweight composite components, particular expertise is required to simulate highly dynamic processes and understand the composite materials used.
💻 Engineering Tool of the Week – FeenoX
FeenoX can be seen either as
a syntactically-sweetened way of asking the computer to solve engineering-related mathematical problems, and/or
a finite-element(ish) tool with a particular design basis.
📚Book of the Week
Automated Machine Learning in Action
Automated Machine Learning in Action reveals how you can automate the burdensome elements of designing and tuning your machine learning systems. It’s written in a math-lite and accessible style, and filled with hands-on examples for applying AutoML techniques to every stage of a pipeline. AutoML can even be implemented by machine learning novices! If you’re new to ML, you’ll appreciate how the book primes you on machine learning basics. Experienced practitioners will love learning how automated tools like AutoKeras and KerasTuner can create pipelines that automatically select the best approach for your task, or tune any customized search space with user-defined hyperparameters, which removes the burden of manual tuning.
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Keep engineering your mind! 🧠
Jousef