Title
Predictive Modeling and Design Automation of Inorganic Printed Electronics
Abstract
Printed Electronics is perceived to have a major impact in the fields of smart sensors, Internet of Things and wearables. Especially low power printed technologies such as electrolyte gated field effect transistors (EGFETs) using solution-processed inorganic materials and inkjet printing are very promising in such application domains. In this paper, we discuss a modeling approach to describe the variations of printed devices. Incorporating these models and design flows into our previously developed printed design system allows for robust circuit design. Additionally, we propose a reliability-aware routing solution for printed electronics technology based on the technology constraints in printing crossovers. The proposed methodology was validated on multiple benchmark circuits and can be easily integrated with the design automation tools-set.
Year
DOI
Venue
2019
10.23919/DATE.2019.8715159
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Keywords
Field
DocType
Additive manufacturing technology,printed electronics,process design kit,variability modeling and routing
Printed electronics,Computer science,Field-effect transistor,Wearable computer,Design systems,Circuit design,Electronic engineering,Real-time computing,Design flow,Electronic design automation,Electronic circuit
Conference
ISSN
ISBN
Citations 
1530-1591
978-1-7281-0331-0
0
PageRank 
References 
Authors
0.34
3
6
Name
Order
Citations
PageRank
Farhan Rasheed101.35
Michael Hefenbrock225.10
Rajendra Bishnoi313219.64
M. Beigl42034311.09
Jasmin Aghassi-Hagmann586.18
Mehdi B. Tahoori61537163.44