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Title: Ultra-sensitive Hall sensors based on graphene encapsulated in hexagonal boron nitride

Abstract

The encapsulation of graphene in hexagonal boron nitride provides graphene on substrate with excellent material quality. Here, we present the fabrication and characterization of Hall sensor elements based on graphene boron nitride heterostructures, where we gain from high mobility and low charge carrier density at room temperature. We show a detailed device characterization including Hall effect measurements under vacuum and ambient conditions. We achieve a current- and voltage-related sensitivity of up to 5700 V/AT and 3 V/VT, respectively, outpacing state-of-the-art silicon and III/V Hall sensor devices. Finally, we extract a magnetic resolution limited by low frequency electric noise of less than 50 nT/√(Hz) making our graphene sensors highly interesting for industrial applications.

Authors:
;  [1];  [2]; ;  [3];  [1]; ;  [4]
  1. JARA-FIT and 2nd Institute of Physics, RWTH Aachen University, 52074 Aachen (Germany)
  2. (PGI-8/9), Forschungszentrum Jülich, 52425 Jülich (Germany)
  3. Advanced Microelectronic Center Aachen (AMICA), AMO GmbH, 52074 Aachen (Germany)
  4. National Institute for Materials Science, 1-1 Namiki, Tsukuba 305-0044 (Japan)
Publication Date:
OSTI Identifier:
22399059
Resource Type:
Journal Article
Journal Name:
Applied Physics Letters
Additional Journal Information:
Journal Volume: 106; Journal Issue: 19; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0003-6951
Country of Publication:
United States
Language:
English
Subject:
75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; BORON NITRIDES; CARRIER MOBILITY; CHARGE CARRIERS; DENSITY; ELECTRIC POTENTIAL; ENCAPSULATION; FABRICATION; GAIN; GRAPHENE; HALL EFFECT; RESOLUTION; SENSITIVITY; SENSORS; SILICON; SUBSTRATES; TEMPERATURE RANGE 0273-0400 K

Citation Formats

Dauber, Jan, Stampfer, Christoph, Peter Grünberg Institute, Sagade, Abhay A., Neumaier, Daniel, Oellers, Martin, Watanabe, Kenji, and Taniguchi, Takashi. Ultra-sensitive Hall sensors based on graphene encapsulated in hexagonal boron nitride. United States: N. p., 2015. Web. doi:10.1063/1.4919897.
Dauber, Jan, Stampfer, Christoph, Peter Grünberg Institute, Sagade, Abhay A., Neumaier, Daniel, Oellers, Martin, Watanabe, Kenji, & Taniguchi, Takashi. Ultra-sensitive Hall sensors based on graphene encapsulated in hexagonal boron nitride. United States. doi:10.1063/1.4919897.
Dauber, Jan, Stampfer, Christoph, Peter Grünberg Institute, Sagade, Abhay A., Neumaier, Daniel, Oellers, Martin, Watanabe, Kenji, and Taniguchi, Takashi. Mon . "Ultra-sensitive Hall sensors based on graphene encapsulated in hexagonal boron nitride". United States. doi:10.1063/1.4919897.
@article{osti_22399059,
title = {Ultra-sensitive Hall sensors based on graphene encapsulated in hexagonal boron nitride},
author = {Dauber, Jan and Stampfer, Christoph and Peter Grünberg Institute and Sagade, Abhay A. and Neumaier, Daniel and Oellers, Martin and Watanabe, Kenji and Taniguchi, Takashi},
abstractNote = {The encapsulation of graphene in hexagonal boron nitride provides graphene on substrate with excellent material quality. Here, we present the fabrication and characterization of Hall sensor elements based on graphene boron nitride heterostructures, where we gain from high mobility and low charge carrier density at room temperature. We show a detailed device characterization including Hall effect measurements under vacuum and ambient conditions. We achieve a current- and voltage-related sensitivity of up to 5700 V/AT and 3 V/VT, respectively, outpacing state-of-the-art silicon and III/V Hall sensor devices. Finally, we extract a magnetic resolution limited by low frequency electric noise of less than 50 nT/√(Hz) making our graphene sensors highly interesting for industrial applications.},
doi = {10.1063/1.4919897},
journal = {Applied Physics Letters},
issn = {0003-6951},
number = 19,
volume = 106,
place = {United States},
year = {2015},
month = {5}
}