Applications of Raman spectroscopy in graphene-related materials and the development of parameterized PCA for large-scale data analysis
| dc.creator | João Luiz Elias Campos | |
| dc.creator | Hudson Luiz Silva de Miranda | |
| dc.creator | Cassiano Rabelo e Silva | |
| dc.creator | Emil Sandoz-Rosado | |
| dc.creator | Sugandha Dogra Pandey | |
| dc.creator | Juha Riikonen | |
| dc.creator | Abraham Guadalupe Cano-Márquez | |
| dc.creator | Ado Jorio de Vasconcelos | |
| dc.date.accessioned | 2022-07-26T17:16:35Z | |
| dc.date.accessioned | 2025-09-09T00:13:33Z | |
| dc.date.available | 2022-07-26T17:16:35Z | |
| dc.date.issued | 2017-09-15 | |
| dc.description.sponsorship | CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico | |
| dc.identifier.doi | https://doi.org/10.1002/jrs.5225 | |
| dc.identifier.issn | 1097-4555 | |
| dc.identifier.uri | https://hdl.handle.net/1843/43662 | |
| dc.language | eng | |
| dc.publisher | Universidade Federal de Minas Gerais | |
| dc.relation.ispartof | Journal of Raman Spectroscopy | |
| dc.rights | Acesso Restrito | |
| dc.subject | Grafeno | |
| dc.subject | Nanomateriais | |
| dc.subject | Espectroscopia de Raman | |
| dc.subject.other | Raman spectroscopy | |
| dc.subject.other | Principal component analysis | |
| dc.subject.other | Graphene | |
| dc.subject.other | Disorder | |
| dc.subject.other | Defect | |
| dc.title | Applications of Raman spectroscopy in graphene-related materials and the development of parameterized PCA for large-scale data analysis | |
| dc.type | Artigo de periódico | |
| local.citation.epage | 65 | |
| local.citation.issue | 1 | |
| local.citation.spage | 54 | |
| local.citation.volume | 49 | |
| local.description.resumo | 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. | |
| local.identifier.orcid | https://orcid.org/0000-0002-8071-0525 | |
| local.identifier.orcid | https://orcid.org/0000-0002-9946-5224 | |
| local.identifier.orcid | https://orcid.org/0000-0003-0488-2242 | |
| local.identifier.orcid | https://orcid.org/0000-0003-3123-2245 | |
| local.identifier.orcid | https://orcid.org/0000-0002-7940-7270 | |
| local.identifier.orcid | https://orcid.org/0000-0002-5978-2735 | |
| local.publisher.country | Brasil | |
| local.publisher.department | ICX - DEPARTAMENTO DE FÍSICA | |
| local.publisher.initials | UFMG | |
| local.url.externa | https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/full/10.1002/jrs.5225 |
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