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📚 "If people knew how hard I worked to get my mastery, it wouldn't seem so wonderful at all.” – Michelangelo
🎙️ Engineering & PhD Life – Miguel Alfonso Mendez | Podcast #116
🚀 Langley Unitary Plan Wind Tunnel
💻 Physics-Constrained ML for Scientific Computing
A fundamental challenge is that the predictions of deep-learning models trained on physical data typically ignore fundamental physical principles. Such models might, for instance, violate system conservation laws: the solution to a heat transfer problem may fail to conserve energy, or the solution to a fluid flow problem may fail to conserve mass.
Similarly, a model’s solution may violate boundary conditions — say, allowing heat flow through an insulator at the boundary of a physical system. This can happen even when the model’s training data includes no such violations: at inference time, the model may simply extrapolate from patterns in the training data in an illicit way.
💦 Machine Learning for Fluid Mechanics
💨 Aerodynamics: Scoring decimal points by Audi AG
Even the tiniest improvements in aerodynamics add to an electric car’s range. Dr. Moni Islam, Head of Aerodynamics/Aeroacoustics Development at Audi, talks about striving for perfection in the Audi e-tron models.
💻 Engineering Tool of the Week - SU2
Computational analysis tools have revolutionized the way we design engineering systems, but most established codes are proprietary, unavailable, or prohibitively expensive for many users. The SU2 team is changing this, making multiphysics analysis and design optimization software freely available and involving everyone in its creation and development.
📚Book of the Week
Turbulence: The Legacy of A. N. Kolmogorov
This textbook presents a modern account of turbulence, one of the greatest challenges in physics. The state-of-the-art is put into historical perspective five centuries after the first studies of Leonardo and half a century after the first attempt by A. N. Kolmogorov to predict the properties of flow at very high Reynolds numbers. Elementary presentations of dynamical systems ideas, of probabilistic methods (including the theory of large deviations) and of fractal geometry make this a self-contained textbook.
🙃 Meme of the Week
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Keep engineering your mind! 🧠
Jousef