Coupling machine learning with 3D bioprinting to fast track optimisation of extrusion printing

Ruberu, K, Senadeera, Manisha, Rana, Santu, Gupta, Sunil, Chung, J, Yue, Z, Venkatesh, Svetha and Wallace, G 2021, Coupling machine learning with 3D bioprinting to fast track optimisation of extrusion printing, Applied materials today, vol. 22, pp. 1-9, doi: 10.1016/j.apmt.2020.100914.

Attached Files
Name Description MIMEType Size Downloads

Title Coupling machine learning with 3D bioprinting to fast track optimisation of extrusion printing
Author(s) Ruberu, K
Senadeera, Manisha
Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Chung, J
Yue, Z
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Wallace, G
Journal name Applied materials today
Volume number 22
Article ID 100914
Start page 1
End page 9
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021-03
ISSN 2352-9407
2352-9407
Keyword(s) Science & Technology
Technology
Materials Science, Multidisciplinary
Materials Science
3D Bioprinting
Machine learning
Bayesian optimisation
Gelatin methacryloyl
Hyaluronic acid methacrylate
Language eng
DOI 10.1016/j.apmt.2020.100914
Indigenous content off
Field of Research 0204 Condensed Matter Physics
0912 Materials Engineering
1007 Nanotechnology
HERDC Research category C1 Refereed article in a scholarly journal
Grant ID FL170100006
Persistent URL http://hdl.handle.net/10536/DRO/DU:30146516

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 12 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 07 Jan 2021, 15:00:47 EST

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.