Updated Nov 19, 2024
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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
Predicting Reaction Yields via Supervised Learning (2021)
Andrzej M. Żurański, Jesus I. Martinez Alvarado, Benjamin J. Shields, Abigail G. Doyle
DOI: 10.1021/acs.accounts.0c00770 PubMed: 33788552
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