PyTorch/FEniCSx pipeline for elastocaloric metamaterial optimization
AI-driven lattice design circumvents SIMP's degeneracy, solving a real physics paradox.

The post ties classic MacCready speed-to-fly theory to an RL framing and carefully walks through sink-vs-speed modeling instead of handwaving the physics. It's a thoughtful niche read, but the landing page is just an article — no simulator, no training curves, no agent demo or downloadable artifacts — so it's hard to judge any technical execution beyond the math.
Paragliding pilots, RL researchers and hobbyists, simulation enthusiasts
AI-driven lattice design circumvents SIMP's degeneracy, solving a real physics paradox.
Revives deprecated OpenAI gym-http-api with Docker images and built-in browser monitoring views.
Feel reinforcement learning by playing it—unusual pedagogical framing, but narrow audience.
Runs PPO training entirely in-browser via TinyJit WebGPU kernels.
IFR procedure training in a browser when X-Plane costs $300 and requires downloads.