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Planning chemical syntheses with deep neural networks and symbolic AI.
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Planning chemical syntheses with deep neural networks and symbolic AI
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Europe PubMed Central
PubMed ID
29595767
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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:29595767%20AND%20SRC:MED&resulttype=core&format=json
retrieved
21 March 2020
title
Planning chemical syntheses with deep neural networks and symbolic AI
(English)
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PubMed ID
29595767
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21 March 2020
main subject
deep neural network
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deep learning
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author
Mike Preuss
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2
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29595767
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21 March 2020
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Marwin H S Segler
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1
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29595767
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21 March 2020
Mark P Waller
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3
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29595767
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21 March 2020
language of work or name
English
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1 March 2018
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29595767
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21 March 2020
published in
Nature
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PubMed ID
29595767
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21 March 2020
volume
555
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29595767
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21 March 2020
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7698
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29595767
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21 March 2020
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604-610
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29595767
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retrieved
21 March 2020
exact match
https://scigraph.springernature.com/pub.10.1038/nature25978
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Recent Developments of the Chemistry Development Kit (CDK) - An Open-Source Java Library for Chemo- and Bioinformatics
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Organic synthesis: march of the machines
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Development of a novel fingerprint for chemical reactions and its application to large-scale reaction classification and similarity
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PubMed
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https://pubmed.ncbi.nlm.nih.gov/29595767
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12 December 2020
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Identifiers
DOI
10.1038/NATURE25978
1 reference
stated in
Europe PubMed Central
PubMed ID
29595767
reference URL
https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:29595767%20AND%20SRC:MED&resulttype=core&format=json
retrieved
21 March 2020
ADS bibcode
2018Natur.555..604S
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arXiv ID
1708.04202
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Unpaywall
DBLP publication ID
journals/nature/SeglerPW18
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DBLP Dataset 2021-01-02
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28 January 2021
Dimensions Publication ID
1101795547
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Fatcat ID
release_yb6scvw5ffanfl446ho3nrbcoi
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mapped directly with Wikidata item
PubMed ID
29595767
1 reference
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Europe PubMed Central
PubMed ID
29595767
reference URL
https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:29595767%20AND%20SRC:MED&resulttype=core&format=json
retrieved
21 March 2020
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