Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

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Show results for 693.932 people that are selected by your search filters.

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Naji, M.
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Conley, Kevin

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Aalto University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2024Dedoping of Carbon Nanotube Networks Containing Metallic Clusters and Chloride1citations
  • 2023Overcoming the Sticking Point: Electrical Conductivity of Carbon Nanotube Networks Containing 3d Metals2citations
  • 2022Bridging the Junction: Electrical Conductivity of Carbon Nanotube Networks30citations
  • 2021Silica-silicon composites for near-infrared reflection6citations
  • 2021Silica-silicon composites for near-infrared reflection: A comprehensive computational and experimental study6citations
  • 2019Thermoplasmonic Response of Semiconductor Nanoparticles15citations
  • 2018Chitosan–Zinc(II) Complexes as a Bio-Sorbent for the Adsorptive Abatement of Phosphate: Mechanism of Complexation and Assessment of Adsorption Performance60citations

Places of action

Chart of shared publication
Juntunen, Taneli
1 / 8 shared
Karttunen, Antti J.
3 / 40 shared
Etula, Jarkko
1 / 20 shared
Mikladal, Bjorn
1 / 1 shared
Gadgil, Bhushan
1 / 1 shared
Varjos, Ilkka
1 / 3 shared
Hannula, Simo-Pekka
1 / 48 shared
Lehtonen, Joonas
2 / 8 shared
Ala-Nissila, Tapio
3 / 27 shared
Karttunen, Mikko
3 / 42 shared
Thakore, Vaibhav
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Moosakhani, Shima
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Ge, Yanling
2 / 25 shared
Hannula, Simo Pekka
1 / 7 shared
Tang, Janika
1 / 1 shared
Virolainen, Elina
1 / 1 shared
Yazdani Mccord, Maryam Roza
1 / 6 shared
Vahala, Riku
1 / 2 shared
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Co-Authors (by relevance)

  • Juntunen, Taneli
  • Karttunen, Antti J.
  • Etula, Jarkko
  • Mikladal, Bjorn
  • Gadgil, Bhushan
  • Varjos, Ilkka
  • Hannula, Simo-Pekka
  • Lehtonen, Joonas
  • Ala-Nissila, Tapio
  • Karttunen, Mikko
  • Thakore, Vaibhav
  • Moosakhani, Shima
  • Ge, Yanling
  • Hannula, Simo Pekka
  • Tang, Janika
  • Virolainen, Elina
  • Yazdani Mccord, Maryam Roza
  • Vahala, Riku
OrganizationsLocationPeople

article

Bridging the Junction: Electrical Conductivity of Carbon Nanotube Networks

  • Karttunen, Antti J.
  • Conley, Kevin
Abstract

Funding Information: We acknowledge Business Finland for funding (grant no. 3767/31/2019) and Finnish IT Center for Science (CSC) for computational resources. Publisher Copyright: © 2022 The Authors. Published by American Chemical Society. ; Carbon nanotube (CNT) films have excellent conductivity and suitable flexibility for chemical sensing and touch screen devices. Understanding the pathways of charge transport within the network is crucial to develop new functional materials and improve existing devices. Here, we study the electrical conductivity of networks of CNTs containing Group 11 metals (Au, Ag, and Cu), s-p metals (K, Ca, and Al), AuCl3, AuCl4, and Cl using quantum mechanical methods and semiclassical Boltzmann transport theory. The conductivity is characterized along the nanotubes and across the intersecting junction. The conductivity is much weaker across the junction than along the nanotubes and could be strengthened in all directions using dopants. The largest increase in conductivity is induced by Al along the nanotubes and by Cu across the intersection [389-fold and 14-fold relative to the pristine (8,0) network, respectively]. Additionally, Ag dopants activate charge transport along the semiconducting nanotube in heterogeneous networks of mixed metal and semiconducting nanotubes. The conductivity along the semiconducting nanotube increased 781-fold. This activation removes the bottleneck of charge transport along the semiconducting nanotubes within the network of mixed chiralities. Small amounts of dopants within nanotube networks drastically change the directional conductivity and provide new pathways for charge transport for applications such as chemical sensing or touch screens. ; Peer reviewed

Topics
  • impedance spectroscopy
  • Carbon
  • theory
  • nanotube
  • activation
  • electrical conductivity