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Efficient bayesian function optimization of evolving material manufacturing processes

Rubín De Celis Leal, David, Nguyen, Dang, Vellanki, Pratibha, Li, Cheng, Rana, Santu, Thompson, Nathan, Gupta, Sunil, Pringle, Keiran, Subianto, Surya, Venkatesh, Svetha, Slezak, Teo, Height, Murray and Sutti, Alessandra 2019, Efficient bayesian function optimization of evolving material manufacturing processes, ACS omega, vol. 4, no. 24, pp. 20571-20578, doi: 10.1021/acsomega.9b02439.

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Title Efficient bayesian function optimization of evolving material manufacturing processes
Author(s) Rubín De Celis Leal, David
Nguyen, Dang
Vellanki, Pratibha
Li, ChengORCID iD for Li, Cheng orcid.org/0000-0001-8140-2826
Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Thompson, Nathan
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Pringle, Keiran
Subianto, SuryaORCID iD for Subianto, Surya orcid.org/0000-0002-5711-3693
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Slezak, Teo
Height, Murray
Sutti, AlessandraORCID iD for Sutti, Alessandra orcid.org/0000-0002-1793-3881
Journal name ACS omega
Volume number 4
Issue number 24
Start page 20571
End page 20578
Total pages 8
Publisher American Chemistry Society
Place of publication Washington, D.C.
Publication date 2019
ISSN 2470-1343
Keyword(s) Science & Technology
Physical Sciences
Chemistry, Multidisciplinary
Chemistry
SCALE-UP
CHALLENGES
GRAPHENE
Language eng
DOI 10.1021/acsomega.9b02439
Indigenous content off
Field of Research 080110 Simulation and Modelling
080201 Analysis of Algorithms and Complexity
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30133110

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.