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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2016Porosimetry and packing morphology of vertically aligned carbon nanotube arrays via impedance spectroscopy.15citations

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Chart of shared publication
Thompson, Carl V.
1 / 1 shared
Stein, Itai
1 / 1 shared
Lu, Yuan
1 / 13 shared
Wardle, Brian L.
1 / 28 shared
Wang, Evelyn N.
1 / 2 shared
Laoui, Tahar
1 / 8 shared
Mutha, Heena K.
1 / 1 shared
Chart of publication period
2016

Co-Authors (by relevance)

  • Thompson, Carl V.
  • Stein, Itai
  • Lu, Yuan
  • Wardle, Brian L.
  • Wang, Evelyn N.
  • Laoui, Tahar
  • Mutha, Heena K.
OrganizationsLocationPeople

article

Porosimetry and packing morphology of vertically aligned carbon nanotube arrays via impedance spectroscopy.

  • Thompson, Carl V.
  • Suss, Matthew
  • Stein, Itai
  • Lu, Yuan
  • Wardle, Brian L.
  • Wang, Evelyn N.
  • Laoui, Tahar
  • Mutha, Heena K.
Abstract

Vertically aligned one-dimensional nanostructure arrays are promising in many applications such as electrochemical systems, solar cells, and electronics, taking advantage of high surface area per unit volume, nanometer length scale packing, and alignment leading to high conductivity. However, many devices need to optimize arrays for device performance by selecting an appropriate morphology. Developing a simple, non-invasive tool for understanding the role of pore volume distribution and interspacing would aid in the optimization of nanostructure morphologies in electrodes. In this work, we combined electrochemical impedance spectroscopy (EIS) with capacitance measurements and porous electrode theory to conduct in situ porosimetry of vertically aligned carbon nanotube (VA-CNT) forests non-destructively. We utilized the EIS measurements with a pore size distribution model to quantify the average and dispersion of inter-CNT spacing (Γ), stochastically, in carpets that were mechanically densified from tubes cm−2 to tubes cm−2. Our analysis predicts that the inter-CNT spacing ranges from over 100 ± 50 nm in sparse carpets to sub 10 ± 5 nm in packed carpets. Our results suggest that waviness of CNTs leads to variations in the inter-CNT spacing, which can be significant in sparse carpets. This methodology can be used to predict the performance of many nanostructured devices, including supercapacitors, batteries, solar cells, and semiconductor electronics.

Topics
  • porous
  • pore
  • dispersion
  • surface
  • Carbon
  • theory
  • nanotube
  • semiconductor
  • electrochemical-induced impedance spectroscopy
  • one-dimensional
  • aligned
  • porosimetry