Applications of Raman spectroscopy in graphene-related materials and the development of parameterized PCA for large-scale data analysis

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 (c) 2017 John Wiley & Sons, Ltd.