Machine Learning Analysis of Raman Spectra of MoS(2)

Defects introduced during the growth process greatly affect the device performance of two-dimensional (2D) materials. Here we demonstrate the applicability of employing machine-learning-based analysis to distinguish the monolayer continuous film and defect areas of molybdenum disulfide (MoS(2)) usin...

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Detalles Bibliográficos
Autores principales: Mao, Yu, Dong, Ningning, Wang, Lei, Chen, Xin, Wang, Hongqiang, Wang, Zixin, Kislyakov, Ivan M., Wang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695331/
https://www.ncbi.nlm.nih.gov/pubmed/33182274
http://dx.doi.org/10.3390/nano10112223

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695331/
https://www.ncbi.nlm.nih.gov/pubmed/33182274
http://dx.doi.org/10.3390/nano10112223

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