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

693.932 People

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2021Tuneable spin injection in high-quality graphene with one-dimensional contactscitations
  • 2017Edge currents shunt the insulating bulk in gapped graphene97citations

Places of action

Chart of shared publication
Watanabe, K.
2 / 26 shared
Toscano Figueroa, Jesus Carlos
1 / 1 shared
Grigorieva, Irina
1 / 11 shared
Taniguchi, T.
2 / 17 shared
Natera-Cordero, N.
1 / 1 shared
Guarochico-Moreira, V. H.
1 / 1 shared
Vera-Marun, Ivan J.
1 / 10 shared
Sambricio, J. L.
1 / 1 shared
Anderson, Christopher
1 / 2 shared
Omari, K.
1 / 1 shared
Polini, M.
1 / 5 shared
Prance, Jonathan
1 / 1 shared
Yu, G. L.
1 / 3 shared
Novoselov, K. S.
1 / 10 shared
Zhu, M. J.
1 / 2 shared
Kretinin, A. V.
1 / 1 shared
Geim, A. K.
1 / 10 shared
Thompson, Michael
1 / 5 shared
Vera-Marun, I. J.
1 / 5 shared
Birkbeck, J.
1 / 4 shared
Hu, S.
1 / 9 shared
Mishchenko, Artem
1 / 11 shared
Shalom, M. Ben
1 / 1 shared
Chart of publication period
2021
2017

Co-Authors (by relevance)

  • Watanabe, K.
  • Toscano Figueroa, Jesus Carlos
  • Grigorieva, Irina
  • Taniguchi, T.
  • Natera-Cordero, N.
  • Guarochico-Moreira, V. H.
  • Vera-Marun, Ivan J.
  • Sambricio, J. L.
  • Anderson, Christopher
  • Omari, K.
  • Polini, M.
  • Prance, Jonathan
  • Yu, G. L.
  • Novoselov, K. S.
  • Zhu, M. J.
  • Kretinin, A. V.
  • Geim, A. K.
  • Thompson, Michael
  • Vera-Marun, I. J.
  • Birkbeck, J.
  • Hu, S.
  • Mishchenko, Artem
  • Shalom, M. Ben
OrganizationsLocationPeople

article

Edge currents shunt the insulating bulk in gapped graphene

  • Watanabe, K.
  • Polini, M.
  • Prance, Jonathan
  • Yu, G. L.
  • Bandurin, D. A.
  • Taniguchi, T.
  • Novoselov, K. S.
  • Zhu, M. J.
  • Kretinin, A. V.
  • Geim, A. K.
  • Thompson, Michael
  • Vera-Marun, I. J.
  • Birkbeck, J.
  • Hu, S.
  • Mishchenko, Artem
  • Shalom, M. Ben
Abstract

An energy gap can be opened in the spectrum of graphene reaching values as large as 0.2 eV in the case of bilayers. However, such gaps rarely lead to the highly insulating state expected at low temperatures. This long-standing puzzle is usually explained by charge inhomogeneity. Here we revisit the issue by investigating proximity-induced superconductivity in gapped graphene and comparing normal-state measurements in the Hall bar and Corbino geometries. We find that the supercurrent at the charge neutrality point in gapped graphene propagates along narrow channels near the edges. This observation is corroborated by using the edgeless Corbino geometry in which case resistivity at the neutrality point increases exponentially with increasing the gap, as expected for an ordinary semiconductor. In contrast, resistivity in the Hall bar geometry saturates to values of about a few resistance quanta. We attribute the metallic-like edge conductance to a nontrivial topology of gapped Dirac spectra.

Topics
  • impedance spectroscopy
  • resistivity
  • semiconductor
  • superconductivity
  • superconductivity