Abstract

Spontaneous Raman spectroscopy is a powerful characterization tool for graphene research. Its extension to the coherent regime, despite the large nonlinear third-order susceptibility of graphene, has so far proven challenging. Due to its gapless nature, several interfering electronic and phononic transitions concur to generate its optical response, preventing to retrieve spectral profiles analogous to those of spontaneous Raman. Here we report stimulated Raman spectroscopy of the G-phonon in single and multi-layer graphene, through coherent anti-Stokes Raman Scattering. The nonlinear signal is dominated by a vibrationally non-resonant background, obscuring the Raman lineshape. We demonstrate that the vibrationally resonant coherent anti-Stokes Raman Scattering peak can be measured by reducing the temporal overlap of the laser excitation pulses, suppressing the vibrationally non-resonant background. We model the spectra, taking into account the electronically resonant nature of both. We show how coherent anti-Stokes Raman Scattering can be used for graphene imaging with vibrational sensitivity.

Details

Title
Coherent anti-Stokes Raman spectroscopy of single and multi-layer graphene
Author
Virga, A 1 ; Ferrante, C 2   VIAFID ORCID Logo  ; Batignani, G 3   VIAFID ORCID Logo  ; De Fazio, D 4 ; Nunn, A D G 5 ; Ferrari, A C 4   VIAFID ORCID Logo  ; Cerullo, G 6 ; Scopigno, T 2   VIAFID ORCID Logo 

 Dipartimento di Fisica, Universitá di Roma, Roma, Italy; Istituto Italiano di Tecnologia, Center for Life Nano Science @Sapienza, Roma, Italy 
 Dipartimento di Fisica, Universitá di Roma, Roma, Italy; Istituto Italiano di Tecnologia, Graphene Labs, Genova, Italy 
 Dipartimento di Fisica, Universitá di Roma, Roma, Italy 
 Cambridge Graphene Centre, Cambridge University, Cambridge, UK 
 Istituto Italiano di Tecnologia, Center for Life Nano Science @Sapienza, Roma, Italy 
 IFN-CNR, Dipartimento di Fisica, Politecnico di Milano, Milano, Italy 
Pages
1-9
Publication year
2019
Publication date
Aug 2019
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2273182605
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.