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Cited by 424

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Organic transistors manufactured using inkjet technology with subfemtoliter accuracy

Open access
Sekitani, Tsuyoshi, Noguchi, Yoshiaki, Zschieschang, Ute, Klauk, Hagen, Someya, Takao·2008·Proceedings of the National Academy of Sciences

Abstract

A major obstacle to the development of organic transistors for large-area sensor, display, and circuit applications is the fundamental compromise between manufacturing efficiency, transistor performance, and power consumption. In the past, improving the manufacturing efficiency through the use of printing techniques has inevitably resulted in significantly lower performance and increased power consumption, while attempts to improve performance or reduce power have led to higher process temperatures and increased manufacturing cost. Here, we lift this fundamental limitation by demonstrating subfemtoliter inkjet printing to define metal contacts with single-micrometer resolution on the surface of high-mobility organic semiconductors to create high-performance p-channel and n-channel transistors and low-power complementary circuits. The transistors employ an ultrathin low-temperature gate dielectric based on a self-assembled monolayer that allows transistors and circuits on rigid and flexible substrates to operate with very low voltages.

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Metadata

Authors
Sekitani, T., Noguchi, Y., Zschieschang, U., Klauk, H., & Someya, T.
Venue
Proceedings of the National Academy of Sciences
Published
2008-04
Volume
105
Issue
13
Pages
4976-4980
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1999584977
Cited by
424
References
0
FWCI
35.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Organic transistors manufactured using inkjet technology with subfemtoliter accuracy. https://app.cochat.ai/papers/10.1073/pnas.0708340105
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Sekitani, T., Noguchi, Y., Zschieschang, U., Klauk, H., & Someya, T. (2008). Organic transistors manufactured using inkjet technology with subfemtoliter accuracy. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0708340105

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.