Research output: Contribution to journal › Article › peer-review
Recognition of Spatial Distribution of CNT and Graphene in Hybrid Structure by Mapping with Coherent Anti-Stokes Raman Microscopy. / Paddubskaya, Alesia; Rutkauskas, Danielis; Karpicz, Renata et al.
In: Nanoscale Research Letters, Vol. 15, No. 1, 37, 07.02.2020.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Recognition of Spatial Distribution of CNT and Graphene in Hybrid Structure by Mapping with Coherent Anti-Stokes Raman Microscopy
AU - Paddubskaya, Alesia
AU - Rutkauskas, Danielis
AU - Karpicz, Renata
AU - Dovbeshko, Galina
AU - Nebogatikova, Nadezhda
AU - Antonova, Irina
AU - Dementjev, Andrej
N1 - This research was partly supported by the grants for joint project no. S-LB-19-4 from the Research Council of Lithuania Foundation, the Belarusian Republican Foundation for Fundamental Research (BRFFR) project F19LITG-003, and the Horizon 2020 RISE DiSeTCom Project Number: 823728. Publisher Copyright: © 2020, The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/2/7
Y1 - 2020/2/7
N2 - The shape of coherent anti-Stokes Raman scattering (CARS) spectral line depends on the ratio of the vibrational and electronic contributions to the third-order susceptibility of the material. The G-mode (1590 cm−1) of graphene and carbon nanotubes (CNTs) exhibits opposite features in the CARS spectrum, showing “dip” and “peak,” respectively. Here, we consider the CARS spectra of graphene and carbon nanotubes in terms of Fano formalism describing the line shapes of CARS resonances. We show that imaging at only 1590 cm−1 is not sufficient to separate the constituents of a composite material consisting of both graphene and CNTs. We propose an algorithm to map the graphene and CNTs in a composite material.
AB - The shape of coherent anti-Stokes Raman scattering (CARS) spectral line depends on the ratio of the vibrational and electronic contributions to the third-order susceptibility of the material. The G-mode (1590 cm−1) of graphene and carbon nanotubes (CNTs) exhibits opposite features in the CARS spectrum, showing “dip” and “peak,” respectively. Here, we consider the CARS spectra of graphene and carbon nanotubes in terms of Fano formalism describing the line shapes of CARS resonances. We show that imaging at only 1590 cm−1 is not sufficient to separate the constituents of a composite material consisting of both graphene and CNTs. We propose an algorithm to map the graphene and CNTs in a composite material.
KW - CARS imaging
KW - CNTs
KW - G-band
KW - Graphene
KW - VISUALIZATION
KW - CARBON NANOTUBE
KW - COMPOSITES
KW - TRANSPARENT
KW - SCATTERING
UR - http://www.scopus.com/inward/record.url?scp=85079031345&partnerID=8YFLogxK
UR - https://elibrary.ru/item.asp?id=43237016
U2 - 10.1186/s11671-020-3264-8
DO - 10.1186/s11671-020-3264-8
M3 - Article
C2 - 32034569
AN - SCOPUS:85079031345
VL - 15
JO - Discover nano
JF - Discover nano
SN - 2731-9229
IS - 1
M1 - 37
ER -
ID: 23385123