Journal article
Fully Solution-Processed Transparent Artificial Neural Network Using Drop-On-Demand Electrohydrodynamic Printing
J Yong, Y Liang, Y Yu, B Hassan, MS Hossain, K Ganesan, RR Unnithan, R Evans, G Egan, G Chana, B Nasr, E Skafidas
ACS Applied Materials and Interfaces | ACS Publications | Published : 2019
Abstract
© 2019 American Chemical Society. Artificial neural networks (ANN), deep learning, and neuromorphic systems are exciting new processing architectures being used to implement a wide variety of intelligent and adaptive systems. To date, these architectures have been primarily realized using traditional complementary metal-oxide-semiconductor (CMOS) processes or otherwise conventional semiconductor fabrication processes. Thus, the high cost associated with the design and fabrication of these circuits has limited the broader scientific community from applying new ideas, and arguably, has slowed research progress in this exciting new area. Solution-processed electronics offer an attractive option..
View full abstractRelated Projects (2)
Grants
Awarded by Australian Research Council
Funding Acknowledgements
This work was supported by the Australian Research Council Centre of Excellence for Integrative Brain Function (ARC Centre Grant CE140100007). E. Skafidas and RR. Unnithan acknowledge the ARC funding DP170100363