6533b857fe1ef96bd12b4464
RESEARCH PRODUCT
Optimized substrates and measurement approaches for Raman spectroscopy of graphene nanoribbons
Xiao-ye WangColin DanielsLiangbo LiangBryanna BurkhardtOliver BraunOliver BraunMichel CalameMichel CalameAkimitsu NaritaRoman FaselRoman FaselPascal RuffieuxTim DumslaffRimah DarawishRimah DarawishKlaus MüllenKlaus MüllenVincent MeunierMickael L. PerrinGabriela Borin BarinJan OverbeckJan Overbecksubject
Fabrication530 PhysicsFOS: Physical sciences02 engineering and technologySubstrate (electronics)01 natural sciencessymbols.namesakeQuality (physics)540 Chemistry0103 physical sciencesRibbon010302 applied physicsCondensed Matter - Materials Sciencebusiness.industryMaterials Science (cond-mat.mtrl-sci)021001 nanoscience & nanotechnologyCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsCharacterization (materials science)Molecular vibrationsymbols570 Life sciences; biologyOptoelectronics0210 nano-technologybusinessRaman spectroscopyGraphene nanoribbonsdescription
The on-surface synthesis of graphene nanoribbons (GNRs) allows for the fabrication of atomically precise narrow GNRs. Despite their exceptional properties which can be tuned by ribbon width and edge structure, significant challenges remain for GNR processing and characterization. In this contribution, we use Raman spectroscopy to characterize different types of GNRs on their growth substrate and to track their quality upon substrate transfer. We present a Raman-optimized (RO) device substrate and an optimized mapping approach that allows for acquisition of high-resolution Raman spectra, achieving enhancement factors as high as 120 with respect to signals measured on standard SiO2/Si substrates. We show that this approach is well-suited to routinely monitor the geometry-dependent low-frequency modes of GNRs. In particular, we track the radial breathing-like mode (RBLM) and the shear-like mode (SLM) for 5-, 7- and 9-atom wide armchair GNRs (AGNRs) and compare their frequencies with first-principles calculations.
year | journal | country | edition | language |
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2019-07-03 |