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The properties of electronic devices based on carbon nanotube networks (CNTNs) depend on the carbon nanotube (CNT) deposition method used, which can yield a range of network morphologies. Here, we synthesize single-walled CNTs using an aerosol (floating catalyst) chemical vapor deposition process and deposit CNTs at room temperature onto substrates as random networks with various morphologies. We use four CNT deposition techniques: electrostatic or thermal precipitation, and filtration through a filter followed by press transfer or dissolving the filter. We study the mobility using pulsed measurements to avoid hysteresis, the on/off ratio, and the electrical noise properties of the CNTNs, and correlate them to the network morphology through careful imaging. Among the four deposition methods thermal precipitation is found to be a novel approach to prepare high-performance, partially aligned CNTNs that are dry-deposited directly after their synthesis. Our results provide new insight into the role of the network morphologies and offer paths towards tunable transport properties in CNT thin film transistors.

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Publication history
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Acknowledgements

Publication history

Received: 24 January 2012
Revised: 12 March 2012
Accepted: 12 March 2012
Published: 11 May 2012
Issue date: May 2012

Copyright

© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2012

Acknowledgements

Acknowledgements

The work at Aalto University was supported by the Aalto University Multidisciplinary Institute of Digitalization and Energy (MIDE) program via the CNB-E project, R&D promotion scheme funding international joint research promoted by NICT and the Industrial Technology Research Grant Program in 2008 from the New Energy and Industrial Technology Development Organization (NEDO), and was partially supported by the Academy of Finland. The work at UIUC was supported in part by the Nanotechnology Research Initiative (NRI) and the National Science Foundation (NSF). MYT and AGN thank M. Partanen and E. Damskägg for their assistance with experiments. DE acknowledges support from the NSF Graduate Fellowship, and thanks Dr. G. Fried for helpful discussions. JDW is grateful for financial support by the National Defense Science and Engineering Graduate Fellowship through the Army Research Office. JDW also thanks T. Peng for technical assistance in algorithm development and S. W. Schmucker for enlightening discussion. The authors thank A. Liao for his help with noise measurements and C. Timmermans for graphics design.

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