The way to AI-controlled synthesis: how far do we need to go?-Reference-Cited by-同舟云学术

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The way to AI-controlled synthesis: how far do we need to go?

Published:2022 Issue:43 Volume:13 Page:12604-12615
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Wang Wei¹,Liu Yingwei²,Wang Zheng¹,Hao Gefei¹^ORCID,Song Baoan¹^ORCID

Affiliation:

1. State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Research and Development Center for Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China

2. State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550025, P. R. China

Abstract

It is still a long march for AI-controlled synthesis to enter into general laboratories. Flaws in the architecture of AI-controlled synthesis systems must be overcome.

Funder

National Natural Science Foundation of China

Project 211

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/SC/D2SC04419F

Reference75 articles.

1. Beauties of synthesis

2. The digitization of organic synthesis

3. Applications of machine learning in drug discovery and development

4. A Mathematical Theory of Communication

5. ACFIS: a web server for fragment-based drug discovery

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