A simple theoretical approach to designing nanotube-based sensors

Nanotube‐based sensors are high‐sensitivity devices that can probe a number of nano‐sized impurities through doping‐induced variations in their conductivity. One key question for designing efficient sensors is to establish which impurity/nanotube combination will generate maximum sensitivity. Standa...

Full description

Saved in:
Bibliographic Details
Published in:Physica Status Solidi (b) Vol. 248; no. 3; pp. 686 - 693
Main Authors: Rocha, C. G., Ferreira, M. S.
Format: Journal Article
Language:English
Published: Berlin WILEY-VCH Verlag 01-03-2011
WILEY‐VCH Verlag
Wiley-VCH
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Nanotube‐based sensors are high‐sensitivity devices that can probe a number of nano‐sized impurities through doping‐induced variations in their conductivity. One key question for designing efficient sensors is to establish which impurity/nanotube combination will generate maximum sensitivity. Standard ways for selecting a good nanotube/impurity combination consists of an ad hoc approach that involves sifting through an immense universe of possibilities. This trial‐and‐error approach, despite being time‐consuming and computationally demanding, does not necessarily result in sensitivity optimization. A mathematically transparent theoretical formalism was adopted to introduce an inverse way of thinking about the nanotube/impurity combination by establishing a set of characteristics these components must have to generate high sensitivity devices. In this way guidelines were generated that can narrow the search for the ideal components of nanotube‐based sensors. We illustrate this method with a few examples of nanotubes doped with a different single‐atom impurities.
Bibliography:ark:/67375/WNG-GF9DLCF5-8
ArticleID:PSSB201046015
istex:886D5CDCA7194C0C44893A257B57EAE8B2E2F0E8
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0370-1972
1521-3951
1521-3951
DOI:10.1002/pssb.201046015