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Optimization of Formulations Using Robotic Experiments Driven by Machine Learning DoE

Published version
Peer-reviewed

Repository URI

https://www.repository.cam.ac.uk/handle/1810/318096

Repository DOI

https://doi.org/10.17863/CAM.65212

Files

Published version (2.53 MB)

Type

Article

Change log

Authors

Cao, L 
Felton, K 
Salley, D 
Sharma, A 
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Description

Keywords

3403 Macromolecular and Materials Chemistry, 34 Chemical Sciences, 40 Engineering, 4009 Electronics, Sensors and Digital Hardware, 4016 Materials Engineering, Bioengineering, Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence

Journal Title

Cell Reports Physical Science

Conference Name

Journal ISSN

2666-3864
2666-3864

Volume Title

2

Publisher

Elsevier BV

Publisher DOI

https://doi.org/10.1016/j.xcrp.2020.100295

Rights

Attribution 4.0 International Repository logo
Sponsorship
Engineering and Physical Sciences Research Council (EP/R009902/1)
National Research Foundation Singapore (via Cambridge Centre for Advanced Research and Education in Singapore (CARES)) (unknown)
Engineering and Physical Sciences Research Council (EP/S019472/1)

Collections

University of Cambridge Research Outputs (Articles and Conferences)