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)

  • 2019Contactless Electrical and Structural Characterization of Semiconductor Nanowires with Axially Modulated Doping Profiles7citations

Places of action

Chart of shared publication
Liu, Liping
1 / 2 shared
Shan, Jerry
1 / 1 shared
Filler, Michael A.
1 / 2 shared
Yuan, Wuhan
1 / 1 shared
Feldman, Leonard C.
1 / 4 shared
Chart of publication period
2019

Co-Authors (by relevance)

  • Liu, Liping
  • Shan, Jerry
  • Filler, Michael A.
  • Yuan, Wuhan
  • Feldman, Leonard C.
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article

Contactless Electrical and Structural Characterization of Semiconductor Nanowires with Axially Modulated Doping Profiles

  • Liu, Liping
  • Shan, Jerry
  • Filler, Michael A.
  • Mohabir, Amar
  • Yuan, Wuhan
  • Feldman, Leonard C.
Abstract

<jats:title>Abstract</jats:title><jats:p>Efficient characterization of semiconductor nanowires having complex dopant profiles or heterostructures is critical to fully understand these materials and the devices built from them. Existing electrical characterization techniques are slow and laborious, particularly for multisegment nanowires, and impede the statistical understanding of highly variable samples. Here, it is shown that electro‐orientation spectroscopy (EOS)—a high‐throughput, noncontact method for statistically characterizing the electrical properties of entire nanowire ensembles—can determine the conductivity and dimensions of two distinct segments in individual Si nanowires with axially encoded dopant profiles. This analysis combines experimental measurements and computational simulations to determine the electrical conductivity of the nominally undoped segment of two‐segment Si nanowires, as well as the ratio of the segment lengths. The efficacy of this approach is demonstrated by comparing results generated by EOS with conventional four‐point‐probe measurements. This work provides new insights into the control and variability of semiconductor nanowires for electronic applications and is a critical first step toward the high‐throughput interrogation of complete nanowire‐based devices.</jats:p>

Topics
  • impedance spectroscopy
  • simulation
  • semiconductor
  • electrical conductivity