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Towards automation of chemical process route selection based on data mining

Published version
Peer-reviewed

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Authors

Jacob, PM 
Yamin, P 
Perez-Storey, C 
Hopgood, M 
Lapkin, AA 

Abstract

A methodology for chemical routes development and evaluation on the basis of data-mining is presented.

Description

Keywords

34 Chemical Sciences, Generic health relevance

Journal Title

Green Chemistry

Conference Name

Journal ISSN

1463-9262
1463-9270

Volume Title

19

Publisher

Royal Society of Chemistry (RSC)
Sponsorship
Engineering and Physical Sciences Research Council (EP/K014889/1)
This work was in part funded by EPSRC project “Terpene-based manufacturing for sustainable chemical feedstocks” EP/K014889.