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Daily Synthesis

Aerospace Gets a Turbo Boost with AI ✈️

Siemens and PhysicsX just gave aerospace engineering its biggest glow-up yet. Their Ai.rplane tool, powered by Siemens’ Simcenter, cuts simulation times from hours to seconds. Imagine creating and optimizing aircraft designs faster than it takes to microwave popcorn.

At the heart of it all? A Large Geometry Model (LGM) trained on 25 million geometries and enough mesh data to make your head spin. With Ai.rplane, engineers can explore designs, tweak performance, and test stability—no PhD in simulations required.

Oh, and it’s free to try. Don’t miss the future of flight: Check it out here.

Modulus 24.12 rewrites the climate playbook 🌍

NVIDIA’s latest release brings big moves to weather and climate modeling. StormCast, a brand-new generative AI model, emulates high-resolution convection patterns, while FigConvNet sharpens external aerodynamics applications.

Add to that powerful new training recipes like XAeroNet and CorrDiff, making complex workflows seamless. Modulus keeps setting the bar for physics machine learning.

Catch the full release: Check it out here.

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Tools of the Day

• NVIDIA Modulus v24.12 — new network architectures for external aerodynamics applications, climate and weather prediction. (link)

• Next-Generation Simulation Framework for Additive Manufacturing (link)

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Papers of the Day

• NeuralFluid: Neural Fluidic System Design and Control with Differentiable Simulation (link)

• A brief overview of Physics-Informed Neural Networks and some critical remarks (link)

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