Cited by 28Machine Learning in Materials ScienceComputational Drug Discovery MethodsHistory and advancements in chemistry

Organic Reactions Classified by Neural Networks: Michael Additions, Friedel–Crafts Alkylations by Alkenes, and Related Reactions

Chen, Lingran, Gasteiger, Johann·1996·Angewandte Chemie International Edition in English

Abstract

A two-dimensional projection of organic reactions into a self-organizing neural network (shown schematically on the right) makes it possible to perceive similarities between reactions, assign reaction types, and identify special reactions. Michael additions and related reactions are used here to illustrate this approach to analyzing chemical reactions.

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Crossref · 10.1002/anie.199607631

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12 of 12 references verified0 citation errors · 0 not checkable

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Authors
Chen, L., & Gasteiger, J.
Affiliations
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Corresponding author
  • Chen, Lingran
  • Gasteiger, Johann
Venue
Angewandte Chemie International Edition in English
Publisher
Wiley
Published
1996-04-19
Volume
35
Issue
7
Pages
763-765
ISSN
0570-0833 (ISSN-L)
OpenAlex
W2089904228
Cited by
28
References
12
Citations by year
2024: 1 · 2022: 1 · 2021: 1 · 2020: 2 · 2018: 1 · 2014: 1 · 2013: 1
FWCI
1.01
Type
journal article
Language
en
Open access
closed
Locations
Angewandte Chemie International Edition in English (publishedVersion)
Topics
  • Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Physical Sciences › Chemistry › Physical and Theoretical Chemistry › History and advancements in chemistry
Keywords
organic reactions, reaction classification, self-organizing neural networks, Michael addition, Friedel-Crafts alkylation, alkene alkylation

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