Titel
Machine Learning for Organic Synthesis: Are Robots Replacing Chemists?
Abstract
Machines learn chemistry: An artificial intelligence algorithm has learned to predict the outcomes of C−N coupling reactions from a few thousand nanomole‐scale experiments. This Highlight discusses this work in the context of other state‐of‐the‐art approaches for predicting the yields of organic reactions and explains the significance of the results.
Stichwort
Buchwald–Hartwig reactionhigh-throughput synthesis robotmachine learningnanomole-scale reactions
Objekt-Typ
Sprache
Englisch [eng]
Persistent identifier
https://phaidra.univie.ac.at/o:1005820
Erschienen in
Titel
Angewandte Chemie International Edition
Band
57
Ausgabe
24
Seitenanfang
6978
Seitenende
6980
Verlag
Wiley
Erscheinungsdatum
2018
Zugänglichkeit
Rechteangabe
© 2018 The Authors

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