#DifferentiableProgramming
A differentiable magnetohydrodynamics simulation toolkit that lets you model stellar winds, magnetic reconnection, and cosmic turbulence with GPU acceleration and gradient-based opt...

https://github.com/leo1200/astronomix

#Magnetohydrodynamics #DifferentiableProgramming #ComputationalAstrophysics
February 18, 2026 at 9:01 PM
We just released a new differentiable‐programming framework for rapid uncertainty quantification—no Monte Carlo required! 🚀 Check it out: doi.org/10.1002/aic.... #ProcessEngineering #UQ #DifferentiableProgramming
Mapping uncertainty using differentiable programming
Uncertainty quantification (UQ) and propagation is a ubiquitous challenge in science, permeating our field in a general fashion, and its importance cannot be overstated. Recently, the commoditization...
doi.org
July 31, 2025 at 8:05 PM
🚀 NVIDIA Warp now powers reverse‑mode AD for production‑scale gradient optimization—think real‑time physics sims and HPC‑level differentiable programming. Curious how backprop gets turbocharged? Dive in! #ReverseModeAD #GradientOptimization #DifferentiableProgramming

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March 13, 2026 at 7:55 AM