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Correction: Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut–Currier and [3+2] annulation sequence

Masaru Kondo a, H. D. P. Wathsala a, Makoto Sako a, Yutaro Hanatani a, Kazunori Ishikawa b, Satoshi Hara b, Takayuki Takaai b, Takashi Washio *bc, Shinobu Takizawa *ac and Hiroaki Sasai *a
aDepartment of Synthetic Organic Chemistry, The Institute of Scientific and Industrial Research (ISIR), Osaka University, Mihogaoka, Ibaraki, Osaka 567-0047, Japan. E-mail: taki@sanken.osaka-u.ac.jp; sasai@sanken.osaka-u.ac.jp
bDepartment of Reasoning for Intelligence, ISIR, Osaka University, Japan. E-mail: washio@ar.sanken.osaka-u.ac.jp
cArtificial Intelligence Research Center, ISIR, Osaka University, Japan

Received 23rd September 2020 , Accepted 23rd September 2020

First published on 2nd October 2020


Abstract

Correction for ‘Exploration of flow reaction conditions using machine-learning for enantioselective organocatalyzed Rauhut–Currier and [3+2] annulation sequence’ by Masaru Kondo et al., Chem. Commun., 2020, 56, 1259–1262, DOI: 10.1039/C9CC08526B.


The authors regret that there was an error in Fig. 2 in the original article. The scale for the flow rate in Fig. 2a was incorrect. The correct version of the figure is presented here. This does not affect the results or conclusions of the article. There were also some errors in the Supplementary Information. These have now been corrected in an updated version which is available online.
image file: d0cc90423f-f2.tif
Fig. 2 Gaussian process regression with GPy. (A) Estimated yield from Table 1 (entries 1–5); (B) predicted yield for flow rates shown in the yellow ring in (A); (C) predicted yield for temperatures shown in the yellow ring in (A); (D) estimated yield from Table 1 (entries 6–10); (E) predicted yield for equivalents of 2a shown in the yellow ring in (D); (F) predicted yield for temperatures shown in the yellow ring in (D).

The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.


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