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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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| Publié dans: | Nanomaterials (Basel) |
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| Auteurs principaux: | , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7695331/ https://ncbi.nlm.nih.gov/pubmed/33182274 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/nano10112223 |
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