Characterization of two‐dimensional materials from Raman spectral data

2019 ◽  
Vol 51 (1) ◽  
pp. 37-45
Author(s):  
Preet Mishra ◽  
Laxmi Narayan Tripathi
Keyword(s):  
Spectral Data ◽  
Two Dimensional ◽  
Two Dimensional Materials ◽  
Raman Spectral Data ◽  
Raman Spectral

Raman spectroscopy characterization of two-dimensional materials

2018 ◽  
Vol 27 (3) ◽  
pp. 037802 ◽  
Author(s):  
Fang Liang ◽  
Hejun Xu ◽  
Xing Wu ◽  
Chaolun Wang ◽  
Chen Luo ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Two Dimensional ◽  
Two Dimensional Materials

scholarly journals Optical characterizations of two-dimensional materials using nonlinear optical microscopies of CARS, TPEF, and SHG

Nanophotonics ◽  
2018 ◽  
Vol 7 (5) ◽  
pp. 873-881 ◽  
Author(s):  
Rui Li ◽  
Yajun Zhang ◽  
Xuefeng Xu ◽  
Yi Zhou ◽  
Maodu Chen ◽  
...  
Keyword(s):  
Nonlinear Optical ◽  
Second Harmonic ◽  
2D Materials ◽  
Two Dimensional ◽  
Raman Scattering Spectroscopy ◽  
Two Photon ◽  
Photon Excitation ◽  
Two Dimensional Materials ◽  
Anti Stokes

AbstractIn this paper, we employ the nonlinear optical microscopies of coherent anti-Stokes Raman scattering spectroscopy, two-photon excitation fluorescence, and second harmonic generation to characterize the properties of two-dimensional (2D) materials. With these nonlinear optical microscopy methods, we can not only clearly observe the surface topography of 2D materials but also reveal the quality of 2D materials. These nonlinear optical microscopies offer great potential for characterization of the properties of 2D materials.

Raman spectral data denoising based on wavelet analysis

2008 ◽  
Author(s):  
Chen Chen ◽  
Fei Peng ◽  
Qinghua Cheng ◽  
Dahai Xu
Keyword(s):  
Wavelet Analysis ◽  
Spectral Data ◽  
Raman Spectral Data ◽  
Raman Spectral

Self-Modeling Mixture Analysis Applied to FT-Raman Spectral Data of Hydrogen Peroxide Activation by Nitriles

1997 ◽  
Vol 51 (3) ◽  
pp. 407-415 ◽  
Author(s):  
V. Vacque ◽  
N. Dupuy ◽  
B. Sombret ◽  
J. P. Huvenne ◽  
P. Legrand
Keyword(s):  
Spectral Data ◽  
Chemical Transformations ◽  
Mixture Analysis ◽  
Ft Raman Spectroscopy ◽  
Raman Spectral Data ◽  
Raman Spectral ◽  
Kinetics Of ◽  
Peroxide Activation ◽  
Ft Raman

In the analytical environment, spectral data resulting from analysis of samples often represent mixtures of several components. Extraction of information about pure components of these kinds of mixtures is a major problem, especially when reference spectra are not available or when unstable intermediates are formed. Self-modeling multivariate mixture analysis has been developed for this type of problem. In this paper two examples will be used to show the potential of this technique coupled with FT-Raman spectroscopy to elucidate reaction mechanisms and to follow in situ the kinetics of chemical transformations.

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