Dataset for: "Nanoscale graphene Hall sensors for high-resolution magnetic imaging"

Dataset for: "Nanoscale graphene Hall sensors for high-resolution magnetic imaging"

This dataset contains data from the characterisations of chemical vapour deposition (CVD) graphene Hall sensors with wire widths between 50nm and 1500nm. Characterisations include noise amplitude at various drive currents and back gate voltages, Hall voltage measurements at various magnetic fields and back gate voltages, 2-wire voltage measurements with back gate voltage, and an SEM image used in publications/dissemination. The data files are named according to a convention that indicates to which wire width each file corresponds. Data in figures 7 and 8b of the associated paper are based on all of the complete sets of data for each of the wire widths.

Keywords:
Graphene, Hall effect, Sensors, Imaging techniques, Magnetism, Room temperature
Subjects:
Superconductivity, magnetism and quantum fluids

Cite this dataset as:
Collomb, D., Li, P., Bending, S., 2019. Dataset for: "Nanoscale graphene Hall sensors for high-resolution magnetic imaging". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00587.

Export

Data

Chip%2010_post_Ann.zip
application/zip (24kB)
Creative Commons: Attribution 4.0

Chip%2010.zip
application/zip (287kB)
Creative Commons: Attribution 4.0

Data for the 100nm probe was used for the figure 6

Chip%203.zip
application/zip (1MB)
Creative Commons: Attribution 4.0

The 800nm probe data from this chip has been used for figure 6 The 700nm probe data from this chip was used to provide an example Hall trace in the inset of figure 3.

Chip%204.zip
application/zip (61kB)
Creative Commons: Attribution 4.0

Chip%205.zip
application/zip (75kB)
Creative Commons: Attribution 4.0

Chip%209_pre_Ann.zip
application/zip (90kB)
Creative Commons: Attribution 4.0

Figures 4b, 5a and 5b are based on this data.

Chip%209_post_Ann.zip
application/zip (203kB)
Creative Commons: Attribution 4.0

Figures 4b, 5a and 5b are based on this data.

Chip_8.zip
application/zip (28kB)
Creative Commons: Attribution 4.0

This data was used for figure 2 to compare the transfer curves between post- and pre-annealed samples.

Chip13.zip
application/zip (110kB)
Creative Commons: Attribution 4.0

FESEM.zip
application/zip (324kB)
Creative Commons: Attribution 4.0

SEM raw data and image files for figure 9.

Chip%2023.zip
application/zip (15kB)
Creative Commons: Attribution 4.0

Chip%2025.zip
application/zip (29kB)
Creative Commons: Attribution 4.0

700nm data used for figure 8

Code

Read_Noise_Log_logg.m
text/plain (8kB)
Creative Commons: Attribution 4.0

Matlab code used to convert data files from the Dynamic Signal Analyser into a log-log graph of noise.

Creators

David Collomb
University of Bath

Penglei Li
University of Bath

Simon Bending
University of Bath

Coverage

Collection date(s):

From 1 April 2018 to 24 November 2018

Documentation

Data collection method:

Data was collected using: - a Stanford SR380 Lock-in amplifier for 2-wire FET measurement voltage and current data - translating to a resistance; - a Keithley 2450 SMU for Hall voltage data; - a Keithley 2400 SMU for back gate voltage applied data and gate leakage current data; - a HP3561A DSA for voltage noise amplitude data. The Hall probe array (Hall probes being the intersection of two equal width wires varying from 50nm to 1500nm) is glued and wire bonded into a headless package which is then placed in an oxford cryostat insert with electrical connections to the instruments which are then connected to the controlling PC. The insert is inserted into the cryostat and sealed. A Labview program was used to create the automated collection data sets. Where data was not automatically collected, this was taken manually off the above-mentioned instrument's screens and noted down in the previously detailed laboratory book. Data was copied and stored here for electronic storage. All data was collected under room temperature and 10-6 mbar pressures. The magnetic field is created by a 35mT electromagnet whose power is supplied by an 8A Kepco power supply. Aside from manual datasets, the power supply is automatically operated from a Labview program.

Data processing and preparation activities:

All data is in its raw form as taken from the measuring instruments. A MATLAB file for the processing of the noise data acquired from the DSA is included in this repository.

Technical details and requirements:

MATLAB is required for the code and manually copied electronically stored data. SEM data for the 85nm in the illustratory figure 9 is provided in the raw SEM file formats and TIF file format.

Documentation Files

File_guide.txt
text/plain (949B)

Funders

Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266

Graphene Nanosensors for Scanning Hall Microscopy and Susceptometry
EP/R007160/1

Lloyds Register Foundation ICON

Graphene-Hall-effect nanosensors to optimise high current superconducting tapes for applications in 'smart' power grids'
G0086

European Cooperation in Science and Technology (COST)
https://doi.org/10.13039/501100000921

Nanoscale Coherent Hybrid Devices For Superconducting Quantum Technologies (NANOCOHYBRI)
CA-16218

Publication details

Publication date: 8 October 2019
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00587

URL for this record: https://researchdata.bath.ac.uk/id/eprint/587

Related articles

Collomb, D., Li, P. and Bending, S. J., 2019. Nanoscale graphene Hall sensors for high-resolution ambient magnetic imaging. Scientific Reports, 9(1). Available from: https://doi.org/10.1038/s41598-019-50823-8.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: David Collomb

Departments:

Faculty of Science
Physics

Research Centres & Institutes
Centre for Nanoscience and Nanotechnology