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Machine Learning for Organic Synthesis: Are Robots Replacing Chemists?
Author(s) -
Maryasin Boris,
Marquetand Philipp,
Maulide Nuno
Publication year - 2018
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/anie.201803562
Subject(s) - library science , chemistry , art history , engineering , art , computer science
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.