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Dedoping of Carbon Nanotube Networks Containing Metallic Clusters and Chloride

  • Kevin Conley*
  • , Bjorn Mikladal
  • , Bhushan Gadgil
  • , Jarkko Etula
  • , Taneli Juntunen
  • , Ilkka Varjos
  • , Antti J. Karttunen*
  • *Corresponding author for this work
  • Canatu Oy

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
89 Downloads (Pure)

Abstract

Doping carbon nanotube films improves their electrical conductivity and chemical stability. One conventional doping method is the in situ reduction of AuCl3 and yet its beneficial properties on the electrical conductivity lessen once the films are thermally annealed. Here, density functional theory and semiclassical Boltzmann transport theory calculations show a deterioration of the electrical conductivity of a doped network of (8,0) carbon nanotubes as the Aun clusters (n ≤ 10) become larger or the Cl impurity concentration decreases. Between the smallest and largest cluster sizes, the conductivity along the nanotubes and across the junction dropped by 47 and 90% in metallic networks. The declines in semiconducting networks were 50 and 13%, respectively. The maximum electrical conductivity across the junction was for networks containing Au5 clusters (193 times larger than the pristine network). Additionally, the electrical transport was reduced when Cl impurities were removed. Networks with excess Cl impurities had 9.6 and 36.7 times larger electrical conductivity along the nanotubes and across the junction than networks without impurities. Controlling the cluster size and Cl content would mitigate the dedoping of carbon nanotube films after thermal annealing.

Original languageEnglish
Pages (from-to)18442-18450
Number of pages9
JournalJournal of Physical Chemistry C
Volume128
Issue number43
DOIs
Publication statusPublished - 31 Oct 2024
MoE publication typeA1 Journal article-refereed

Funding

We acknowledge Business Finland for funding (grant no. 3767/31/2019) and the Finnish IT Center for Science (CSC) for computational resources.

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  • Molecular Modelling in Industrial Research and Development

    Karttunen, A. (Principal investigator), Conley, K. (Project Member), Modi, V. (Project Member), Miikkulainen, V. (Project Member), Haimi, E. (Project Member), Eklund, K. (Project Member), Möttönen, N. (Project Member) & Mattila, N. (Project Member)

    01/01/202030/04/2022

    Project: Business Finland: Strategic research openings

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