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10.1002/anie.201803562

http://scihub22266oqcxt.onion/10.1002/anie.201803562
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C6033144!6033144!29701305
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suck abstract from ncbi


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pmid29701305      Angew+Chem+Int+Ed+Engl 2018 ; 57 (24): 6978-80
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  • Machine Learning for Organic Synthesis: Are Robots Replacing Chemists? #MMPMID29701305
  • Maryasin B; Marquetand P; Maulide N
  • Angew Chem Int Ed Engl 2018[Jun]; 57 (24): 6978-80 PMID29701305show ga
  • 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.
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