Large yield production of high mobility freely suspended graphene electronic devices on a PMGI based organic polymer
N. Tombros (1, 2), A. Veligura (2), J. Junesch (2), J. J. van den, Berg (2), P. J. Zomer (2), M. Wojtaszek (2), I. J. Vera-Marun (2), H. T., Jonkman (1), B. J. van Wees (2) ((1) Molecular Electronics, Zernike Institute, for Advanced Materials, University of Groningen

TL;DR
This paper presents a new fabrication technique for high mobility suspended graphene devices compatible with various contact materials, achieving record mobilities and enabling advanced graphene-based electronic applications.
Contribution
A novel fabrication method using PMGI-based organic polymer for stable, high mobility suspended graphene devices compatible with diverse contact materials.
Findings
Achieved graphene mobilities up to 600,000 cm^2/Vs at 77K.
Compatible with almost any contact material, unlike previous methods.
Enables development of complex graphene-based spintronic and superconducting devices.
Abstract
The recent observation of fractional quantum Hall effect in high mobility suspended graphene devices introduced a new direction in graphene physics, the field of electron-electron interaction dynamics. However, the technique used currently for the fabrication of such high mobility devices has several drawbacks. The most important is that the contact materials available for electronic devices are limited to only a few metals (Au, Pd, Pt, Cr and Nb) since only those are not attacked by the reactive acid (BHF) etching fabrication step. Here we show a new technique which leads to mechanically stable suspended high mobility graphene devices which is compatible with almost any type of contact material. The graphene devices prepared on a polydimethylglutarimide based organic resist show mobilities as high as 600.000 cm^2/Vs at an electron carrier density n = 5.0 10^9 cm^-2 at 77K. This…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
