Influence of nanotube length and density on the plasmonic terahertz response of single-walled carbon nanotubes
Peter Karlsen (1), Mikhail V. Shuba (2), Chris Beckerleg (1), Dzmitry, I. Yuko (2), Polina P. Kuzhir (2), Sergey A. Maksimenko (2), Vitaly Ksenevich, (3), Ho Viet (3), Albert G. Nasibulin (4, 5), Reshef Tenne (6), Euan, Hendry (1) ((1) School of Physics, University of Exeter

TL;DR
This study investigates how the length and density of single-walled carbon nanotubes influence their terahertz conductivity spectra and temperature-dependent behavior, revealing length- and density-dependent scattering effects.
Contribution
It provides new insights into the impact of nanotube length and density on the temperature-dependent plasmonic terahertz response of CNT films, supported by detailed spectral measurements and modeling.
Findings
Conductivity at 1 THz varies with nanotube length and temperature.
Electron scattering rate increases with temperature, broadening the THz peak.
Conductivity changes with temperature depend on both nanotube length and density.
Abstract
We measure the conductivity spectra of thin films comprising bundled single-walled carbon nanotubes (CNTs) of different average lengths in the frequency range 0.3-1000 THz and temperature interval 10-530 K. The observed temperature-induced changes in the terahertz conductivity spectra are shown to depend strongly on the average CNT length, with a conductivity around 1 THz that increases/decreases as the temperature increases for short/long tubes. This behaviour originates from the temperature dependence of the electron scattering rate, which we obtain from Drude fits of the measured conductivity in the range 0.3-2 THz for 10 m length CNTs. This increasing scattering rate with temperature results in a subsequent broadening of the observed THz conductivity peak at higher temperatures and a shift to lower frequencies for increasing CNT length. Finally, we show that the change in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
