Chemical reaction optimization with dynamic experiments in a flow-chemistry setup leveraging Bayesian optimization.
-
Updated
Jan 17, 2025 - Python
Chemical reaction optimization with dynamic experiments in a flow-chemistry setup leveraging Bayesian optimization.
Camera-ready repository for REIGN, accepted at the MLGenX 2026 ICLR Workshop, on adaptive experiment design with hierarchical transfer and information gain.
Bayesian Optimization from the paper "Catalytic Allylation of Native Hexoses and Pentoses in Water with Indium" by Adak T., Menard T., Albritton M., Florit F., Burke M.D., Jensen K.F., Denmark S.E.
Screening framework for chemical featurisation methods from SMILES and machine learning model architectures to predict optimum ranges of continuous reaction parameters from experimental datasets.
Add a description, image, and links to the reaction-optimization topic page so that developers can more easily learn about it.
To associate your repository with the reaction-optimization topic, visit your repo's landing page and select "manage topics."