Predictive Modeling and Design Automation of Inorganic Printed Electronics
- 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 thePrinted 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.…
Author: | Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-HagmannORCiDGND, Mehdi Baradaran Tahoori |
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Creating Corporation: | IEEE |
Year of Publication: | 2019 |
Pagenumber: | 6 |
ISBN: | 978-3-9819263-2-3 (Online) |
ISBN: | 978-3-9819263-3-0 (USB) |
ISBN: | 978-1-7281-0331-0 (Print on Demand) |
Language: | English |
Parent Title (English): | Proceedings of the Design, Automation and Test in Europe Conference and Exhibition, 25-29 March 2019, Florence, Italy |
ISSN: | 1558-1101 (Online) |
ISSN: | 1530-1591 (Print on Demand) |
First Page: | 30 |
Last Page: | 35 |
Document Type: | Conference Proceeding |
Institutes: | Bibliografie |
Open Access: | Zugriffsbeschränkt |
Release Date: | 2020/01/23 |
Licence (German): | ![]() |
DOI: | https://doi.org/10.23919/DATE.2019.8715159 |