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.‚Ķshow moreshow less

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Author:Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-HagmannORCiDGND, Mehdi Baradaran Tahoori
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:Hochschule Offenburg / Bibliografie
Acces Right:Zugriffsbeschränkt
Release Date:2020/01/23
Licence (German):License LogoEs gilt das UrhG
DOI:https://doi.org/10.23919/DATE.2019.8715159