Chemical data intelligence for sustainable chemistry-Reference-Cited by-同舟云学术

Chemical data intelligence for sustainable chemistry

Published:2021 Issue:21 Volume:50 Page:12013-12036
ISSN:0306-0012
Container-title:Chemical Society Reviews
language:en
Short-container-title:Chem. Soc. Rev.

Author:

Weber Jana M.¹²^ORCID,Guo Zhen²³,Zhang Chonghuan¹,Schweidtmann Artur M.⁴^ORCID,Lapkin Alexei A.¹²³^ORCID

Affiliation:

1. Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge CB3 0AS, UK

2. Chemical Data Intelligence (CDI) Pte Ltd, Robinson Road, #02-00, 068898, Singapore

3. Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd. 1 CREATE Way, CREATE Tower #05-05, 138602, Singapore

4. Department of Chemical Engineering, Delft University of Technology, Van der Maasweg 9, Delft 2629 HZ, The Netherlands

Abstract

This study highlights new opportunities for optimal reaction route selection from large chemical databases brought about by the rapid digitalisation of chemical data.

Funder

Cambridge Trust

Delft Research Centres

National Research Foundation Singapore

University of Cambridge

China Scholarship Council

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/CS/D1CS00477H

Reference254 articles.

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