Fully Solution-Processed Transparent Artificial Neural Network Using Drop-On-Demand Electrohydrodynamic Printing-Reference-Cited by-同舟云学术

Fully Solution-Processed Transparent Artificial Neural Network Using Drop-On-Demand Electrohydrodynamic Printing

Published:2019-04-22 Issue:19 Volume:11 Page:17521-17530
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Yong Jason¹²^ORCID,Liang You¹,Yu Yang¹,Hassan Basem¹,Hossain Md Sharafat²³,Ganesan Kumaravelu,Unnithan Ranjith Rajasekharan,Evans Robin,Egan Gary⁴,Chana Gursharan¹⁵,Nasr Babak¹^ORCID,Skafidas Efstratios¹²

Affiliation:

1. Centre for Neural Engineering, The University of Melbourne, Carlton, Victoria 3053, Australia

2. Advanced Micro Devices (AMD), 32, Lincoln Square North, Carlton, Victoria 3053, Australia

3. ARC Research Hub for Graphene Enabled Industry Transformation, The University of Melbourne, Parkville 3010, Australia

4. Monash Biomedical Imaging, Monash University, Clayton, Victoria 3800, Australia

5. Florey Institute of Neuroscience and Mental Health, Parkville, Victoria 3010, Australia

Funder

Australian Research Council

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.9b02465

Reference56 articles.

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