Non-invasive Scanning Raman Spectroscopy and Tomography for Graphene Membrane Characterization
Stefan Wagner, Thomas Dieing, Alba Centeno, Amaia Zurutuza, Anderson, D. Smith, Mikael \"Ostling, Satender Kataria, Max C. Lemme

TL;DR
This paper introduces a fast, non-invasive Raman spectroscopy method combined with tomography for large-scale, in-line characterization of graphene membranes, enabling detailed analysis of their structure and composition in NEMS devices.
Contribution
It develops a novel Raman tomography technique for three-dimensional, non-invasive characterization of graphene membranes, enhancing quality control in NEMS fabrication.
Findings
Effective differentiation between freestanding and supported graphene.
Successful 3D Raman tomography of graphene membranes.
Automated data analysis for in-line device monitoring.
Abstract
Graphene has extraordinary mechanical and electronic properties, making it a promising material for membrane based nanoelectromechanical systems (NEMS). Here, chemical-vapor-deposited graphene is transferred onto target substrates to suspend it over cavities and trenches for pressure-sensor applications. The development of such devices requires suitable metrology methods, i.e., large-scale characterization techniques, to confirm and analyze successful graphene transfer with intact suspended graphene membranes. We propose fast and noninvasive Raman spectroscopy mapping to distinguish between freestanding and substrate-supported graphene, utilizing the different strain and doping levels. The technique is expanded to combine two-dimensional area scans with cross-sectional Raman spectroscopy, resulting in three-dimensional Raman tomography of membrane-based graphene NEMS. The potential of…
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.
