Recognition of metallic and semiconductor single-wall carbon nanotubes using the photoelectric method

Abstract

An innovative application of deep barrier silicon structures for sensory devices with photoelectrical transformation has been suggested. The principal possibility of the photovoltaic transducer implementation for identification of metallic and semiconductor single-wall carbon nanotubes covered with surfactant in water solution was analyzed in detail. The obtained results are qualitatively explained by local electrostatic influence on the parameters of recombination centers at the silicon surface. This influence can be associated with the dipole moment of molecules absorbed at the surface of the nanotube from surfactant sodium dodecylbenzene sulfonate (SDBS). Moreover, the spatial configuration of charged fragments near the defects at the silicon surface can occur. Another possible reason for carbon nanotubes identification is due to the different polarizability of metallic and semiconductor nanotubes. These results are explained in the frame of Stevenson-Keyes's theory. The reported effect can be further applied as the basis for the control and selection of carbon nanotubes with different conductivity types.

Publication DOI: https://doi.org/10.1016/j.sna.2021.113108
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
Additional Information: © 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Funding: This work was supported by EU Horizon 2020 Research and Innovation Staff Exchange Programme (RISE) under Marie Sklodowska-Curie Action (project 690945 “Carther” and project 101008159 “UNAT”).
Uncontrolled Keywords: silicon surface,carbon nanotube composites,sensor application
Full Text Link:
Related URLs: https://linking ... 924424721005732 (Publisher URL)
PURE Output Type: Article
Published Date: 2021-12-01
Published Online Date: 2021-09-15
Accepted Date: 2021-09-09
Authors: Kozinetz, A.V.
Litvinenko, S.V.
Sus, B.B.
Manilov, A.I.
Topchylo, A.S.
Rozhin, A. (ORCID Profile 0000-0003-2271-8227)
Skryshevsky, V.A.

Download

[img]

Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 15 September 2022.

License: Creative Commons Attribution Non-commercial No Derivatives


Export / Share Citation


Statistics

Additional statistics for this record