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)

  • 2015Computational analysis of metallic nanowire-elastomer nanocomposite based strain sensors22citations

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Amjadi, Morteza
1 / 7 shared
Ryu, Seunghwa
1 / 8 shared
Pugno, Nicola
1 / 25 shared
Park, Inkyu
1 / 7 shared
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2015

Co-Authors (by relevance)

  • Amjadi, Morteza
  • Ryu, Seunghwa
  • Pugno, Nicola
  • Park, Inkyu
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article

Computational analysis of metallic nanowire-elastomer nanocomposite based strain sensors

  • Amjadi, Morteza
  • Ryu, Seunghwa
  • Lee, Sangryun
  • Pugno, Nicola
  • Park, Inkyu
Abstract

<p>Possessing a strong piezoresistivity, nanocomposites of metal nanowires and elastomer have been studied extensively for its use in highly flexible, stretchable, and sensitive sensors. In this work, we analyze the working mechanism and performance of a nanocomposite based stretchable strain sensor by calculating the conductivity of the nanowire percolation network as a function of strain. We reveal that the nonlinear piezoresistivity is attributed to the topological change of percolation network, which leads to a bottleneck in the electric path. We find that, due to enhanced percolation, the linearity of the sensor improves with increasing aspect ratio or volume fraction of the nanowires at the expense of decreasing gauge factor. In addition, we show that a wide range of gauge factors (from negative to positive) can be obtained by changing the orientation distribution of nanowires. Our study suggests a way to intelligently design nanocomposite-based piezoresistive sensors for flexible and wearable devices.</p>

Topics
  • nanocomposite
  • impedance spectroscopy
  • elastomer