Hey friends & nerds! 👋
Welcome to the Sunday Science Newsletter – in this newsletter we explore & discuss strategies, systems & tools that help us become better, smarter and more effective scientists.
❤️ Weekly Favourites
🎬 My Favourite Video
🚴 CFD "Superman" Cyclist
Check out this paper analyzing drag on various cycling positions, including the "Superman".
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.
🧠 Mathematics for Machine Learning: Multivariate Calculus
🤓 Neural Network Solves and Generates Mathematics Problems by Program Synthesis
A neural network pre-trained on text and finetuned on code solves Mathematics problems by program synthesis is presented in this paper. The authors turn questions into programming tasks, automatically generate programs, and then execute them, perfectly solving university-level problems from MIT’s large Mathematics courses, as well as questions from a MATH dataset (on Prealgebra, Algebra, Counting and Probability, Number Theory, and Precalculus), the latest benchmark of advanced mathematics problems specifically designed to assess mathematical reasoning.
💻 Engineering Tool of the Week – FEBio - Multiphysics Finite Element Simulations in Biomechanics & Biophysics
FEBio is a softwarol 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.
📚 Book of the Week
Understanding Aerodynamics: Arguing from the Real Physics
Based on the author's decades of industrial experience with Boeing, this book helps students and practicing engineers to gain a greater physical understanding of aerodynamics. Relying on clear physical arguments and examples, McLean provides a much-needed, fresh approach to this sometimes contentious subject without shying away from addressing "real" aerodynamic situations as opposed to the oversimplified ones frequently used for mathematical convenience.
Motivated by the belief that engineering practice is enhanced in the long run by a robust understanding of the basics as well as real cause-and-effect relationships that lie behind the theory, he provides intuitive physical interpretations and explanations, debunking commonly-held misconceptions and misinterpretations, and building upon the contrasts provided by wrong explanations to strengthen understanding of the right ones.
✍️ Tweet of the Week
🙃 Meme of the Week
Entropy entered the chat.
🎬 Animation of the Week
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✍️ Closing Remarks
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See you next week and in the meantime, make sure to keep engineering your mind! 🧠
Jousef