Skip to main navigation Skip to search Skip to main content

Wafer-scale monodomain films of spontaneously aligned single-walled carbon nanotubes

  • Xiaowei He
  • , Weilu Gao
  • , Lijuan Xie
  • , Bo Li
  • , Qi Zhang
  • , Sidong Lei
  • , John M. Robinson
  • , Erik H. Hroz
  • , Stephen K. Doorn
  • , Weipeng Wang
  • , Robert Vajtai
  • , Pulickel M. Ajayan
  • , W. Wade Adams
  • , Robert H. Hauge
  • , Junichiro Kono

Research output: Contribution to journalArticlepeer-review

378 Scopus citations

Abstract

The one-dimensional character of electrons, phonons and excitons in individual single-walled carbon nanotubes leads to extremely anisotropic electronic, thermal and optical properties. However, despite significant efforts to develop ways to produce large-scale architectures of aligned nanotubes, macroscopic manifestations of such properties remain limited. Here, we show that large (>cm 2) monodomain films of aligned single-walled carbon nanotubes can be prepared using slow vacuum filtration. The produced films are globally aligned within ±1.5° (a nematic order parameter of ∼1) and are highly packed, containing 1 × 10 6 nanotubes in a cross-sectional area of 1μm 2. The method works for nanotubes synthesized by various methods, and film thickness is controllable from a few nanometres to ∼100nm. We use the approach to create ideal polarizers in the terahertz frequency range and, by combining the method with recently developed sorting techniques, highly aligned and chirality-enriched nanotube thin-film devices. Semiconductor-enriched devices exhibit polarized light emission and polarization-dependent photocurrent, as well as anisotropic conductivities and transistor action with high on/off ratios.

Original languageEnglish
Pages (from-to)633-638
Number of pages6
JournalNature Nanotechnology
Volume11
Issue number7
DOIs
StatePublished - Jul 1 2016

Fingerprint

Dive into the research topics of 'Wafer-scale monodomain films of spontaneously aligned single-walled carbon nanotubes'. Together they form a unique fingerprint.

Cite this