High-Throughput Automation In R and D - Peeriodicals

Updated Nov 19, 2024 75 subscribers

High-Throughput Automation In R and D

This journal aims to be a repository of peer-reviewed articles on the use of HTE for small molecules and related topics in R&D laboratories.

Editor Luigi Da Vià

Iterative experimental design based on active machine learning reduces the experimental burden associated with reaction screening (2020)

Natalie Suzanne Eyke, William H. Green, Klavs F Jensen

DOI: 10.1039/d0re00232a

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