Premium
Applications of Raman spectroscopy in graphene‐related materials and the development of parameterized PCA for large‐scale data analysis
Author(s) -
Campos João Luiz Elias,
Miranda Hudson,
Rabelo Cassiano,
SandozRosado Emil,
Pandey Sugandha,
Riikonen Juha,
CanoMarquez Abraham G.,
Jorio Ado
Publication year - 2018
Publication title -
journal of raman spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.748
H-Index - 110
eISSN - 1097-4555
pISSN - 0377-0486
DOI - 10.1002/jrs.5225
Subject(s) - raman spectroscopy , graphene , parameterized complexity , principal component analysis , characterization (materials science) , scale (ratio) , spectroscopy , carbon fibers , materials science , computer science , nanotechnology , analytical chemistry (journal) , chemistry , physics , algorithm , artificial intelligence , optics , composite number , organic chemistry , composite material , quantum mechanics
A methodology for the structural analysis of graphene‐related materials using parameterized principal component analysis (PCA), ideal for large‐scale data treatment, is introduced. First, we review different aspects of Raman spectroscopy for structural and functional characterization of sp 2 ‐bonded carbon materials, which are important for understanding the problem. The parameterized PCA is then introduced and applied to 2 different scenarios: to identify different sp 2 carbon structures and to identify graphene samples with different numbers of layers. Automating these Raman spectroscopy analysis techniques is desired for large‐scale industrial applications. Copyright © 2017 John Wiley & Sons, Ltd.