@inproceedings{RasheedHefenbrockBishnoietal.2019,
  author    = {Farhan Rasheed and Michael Hefenbrock and Rajendra Bishnoi and Michael Beigl and Jasmin Aghassi-Hagmann and Mehdi Baradaran Tahoori},
  title     = {Predictive Modeling and Design Automation of Inorganic Printed Electronics},
  series = {Proceedings of the 2019 Design, Automation \& Test in Europe (DATE)},
  publisher = {IEEE},
  isbn      = {978-3-9819263-2-3 (Online)},
  issn      = {1558-1101 (Online)},
  doi       = {10.23919/DATE.2019.8715159},
  pages     = {30 -- 35},
  year      = {2019},
  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.},
  language  = {en}
}