Shape-Constrained Bayesian Active Learning of Self-Limiting Saturation Curves
The platform uses a shape-constrained Bayesian active learning framework with monotonic I-splines to map self-limiting saturation curves from scarce measurements. It enforces physical constraints directly into the model, ensuring all resulting curves are non-decreasing. This method achieves noise-floor accuracy in significantly fewer experimental runs than random sampling across five different kinetic families.