ax-bayesian-optimization

Bayesian optimization partner for materials science experiments using Meta Ax. Use when researchers want to optimize material properties, formulations, or process parameters. Supports (1) Composite formulation optimization, (2) 3D printing parameter tuning, (3) Alloy composition design, (4) Any black-box optimization with continuous/categorical parameters. Handles the full workflow - setup experiments, suggest trials, validate feasibility with researcher, track results in git, generate visualizations.

// tip: Run this command in your terminal to install the skill