Applications of Raman spectroscopy in graphene-related materials and the development of parameterized PCA for large-scale data analysis
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Universidade Federal de Minas Gerais
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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 sp2-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 sp2 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.
Abstract
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Grafeno, Nanomateriais, Espectroscopia de Raman
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Raman spectroscopy, Principal component analysis, Graphene, Disorder, Defect
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https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/full/10.1002/jrs.5225