Model-based DoE and Bayesian optimization for pharmaceutical formulation: GP-guided Q45 optimization with EI/LogEI, plus qNEHVI multi-objective trade-offs (Q45, hardness, friability).
-
Updated
May 7, 2026 - Jupyter Notebook
Model-based DoE and Bayesian optimization for pharmaceutical formulation: GP-guided Q45 optimization with EI/LogEI, plus qNEHVI multi-objective trade-offs (Q45, hardness, friability).
小样本材料配方优化 · 信息论驱动的实验推荐引擎 | Small-sample materials formulation optimization with adaptive acquisition routing
Add a description, image, and links to the formulation-optimization topic page so that developers can more easily learn about it.
To associate your repository with the formulation-optimization topic, visit your repo's landing page and select "manage topics."