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Russian Chemical Reviews, 2017, Volume 86, Issue 11, Pages 1127–1156
DOI: https://doi.org/10.1070/RCR4746
(Mi rcr4189)
 

This article is cited in 46 scientific papers (total in 46 papers)

Artificial intelligence in synthetic chemistry: achievements and prospects

I. I. Baskinab, T. I. Madzhidovb, I. S. Antipinb, A. A. Varnekbc

a Lomonosov Moscow State University, Faculty of Physics
b Kazan State University A. Butlerov, Institute of Chemistry
c Laboratory of Chemoinformatics (UMR 7140 CNRS/UniStra), University of Strasbourg, France
English full-text Citations (46)
Abstract: The review is devoted to the achievements in analysis of information on chemical reactions using machine learning methods. Four large areas that actively use these methods are outlined: computer-assisted planning of synthesis, analysis and visualization of chemical reaction data, prediction of the quantitative characteristics of reactions and computer-aided design of catalysts.
The bibliography includes 346 references.
Funding agency Grant number
Russian Science Foundation 14-43-00024П
Received: 14.04.2017
Russian version:
Uspekhi Khimii, 2017, Volume 86, Issue 11, Pages 1127–1156
DOI: https://doi.org/10.1070/RCR4746
Bibliographic databases:
Document Type: Article
Language: English
Original paper language: Russian
Citation: I. I. Baskin, T. I. Madzhidov, I. S. Antipin, A. A. Varnek, “Artificial intelligence in synthetic chemistry: achievements and prospects”, Usp. Khim., 86:11 (2017), 1127–1156; Russian Chem. Reviews, 86:11 (2017), 1127–1156
Citation in format AMSBIB
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\pages 1127--1156
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\crossref{https://doi.org/10.1070/RCR4746}
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\jour Russian Chem. Reviews
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\vol 86
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  • https://www.mathnet.ru/eng/rcr4189
  • https://doi.org/10.1070/RCR4746
  • https://www.mathnet.ru/eng/rcr/v86/i11/p1127
  • This publication is cited in the following 46 articles:
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