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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.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/3983
Bibliografische Angaben
Title (English):Predictive Modeling and Design Automation of Inorganic Printed Electronics
Conference:2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 25-29 March 2019, Florence, Italy
Author:Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-HagmannStaff MemberORCiDGND, Mehdi Baradaran Tahoori
Year of Publication:2019
Publisher:IEEE
First Page:30
Last Page:35
Parent Title (English):Proceedings of the 2019 Design, Automation & Test in Europe (DATE)
ISBN:978-3-9819263-2-3 (Online)
ISBN:978-3-9819263-3-0 (USB)
ISBN:978-1-7281-0331-0 (Print on Demand)
ISSN:1558-1101 (Online)
ISSN:1530-1591 (Print on Demand)
DOI:https://doi.org/10.23919/DATE.2019.8715159
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Bibliografie
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt