Optimising the field emission properties of carbon-nanotube-based fibers

Cahay, M., Zhu, W., Ludwick, J., Jensen, K.L., Forbes, R.G., Fairchild, S.B., Back, T.C., Murray, P.T., Harris, J.R. and Shiffler, D.A. (2019) Optimising the field emission properties of carbon-nanotube-based fibers In: Nanotube Superfiber Materials: Science, Manufacturing, Commercialization. Elsevier Inc, pp. 511-532. ISBN 978-0-12-812667-7

Text A167-Chapter 21 M Cahay et al final.pdf - Accepted version Manuscript Restricted to Repository staff only Download (814kB)

Abstract

Building on recent efforts to characterize carbon nanotube fibers (CNFs) as efficient electron emission sources suitable for compact, high power, high frequency vacuum electronic devices, this chapter proposes an exhaustive approach towards optimizing CNF field emission (FE) properties. It outlines how a platform of scientific enquiry geared towards a meaningful comparison between different CNF-based emitters can be developed. The platform envisages an iterative procedure involving (a) the growth, processing, and functionalization of CNFs, (b) full investigation of the CNF material properties before and after FE diagnosis, and (c) multi-scale modeling of FE properties, including self-heating, shielding effects and beam characteristics in the CNFs and in the emitting carbon nanotubes (CNTs) at the fiber apexes. The modeling would be applicable to a wide variety of CNFs and wire-like sources, and would provide essential feedback to the growth, processing, and functionalization of CNFs, in order to optimize their FE properties, especially long-term stability, low noise, maximum emission current, current density, emittance, and brightness.

Item Type:	Book Section
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering > Advanced Technology Institute
Authors :	Name Email ORCID Cahay, M. Zhu, W. Ludwick, J. Jensen, K.L. Forbes, R.G. R.Forbes@surrey.ac.uk Fairchild, S.B. Back, T.C. Murray, P.T. Harris, J.R. Shiffler, D.A.
Editors :	Name Email ORCID Schulz, Mark Shanov, Vesselin Yin, Zhangzhang Cahay, Marc
Date :	13 March 2019
DOI :	10.1016/C2016-0-03380-6
Copyright Disclaimer :	Copyright © 2019 Elsevier Inc. All rights reserved.
Related URLs :	Publisher
Additional Information :	eBook ISBN: 9780128126950 Imprint: William Andrew 2019
Depositing User :	Diane Maxfield
Date Deposited :	19 Nov 2019 11:40
Last Modified :	19 Nov 2019 12:31
URI:	http://epubs.surrey.ac.uk/id/eprint/853175

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