Machine-learning models for Raman spectra analysis of twisted bilayer graphene
Machine-learning models for Raman spectra analysis of twisted bilayer graphene
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Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
The vibrational properties of twisted bilayer graphene (tBLG) show complex features, due to the intricate energy landscape of its low-symmetry configurations. A machine learning-based approach is developed to provide a continuous model between the twist angle and the simulated Raman spectra of tBLGs. Extracting the structural information of the twi...
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Full title
Machine-learning models for Raman spectra analysis of twisted bilayer graphene
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Record Identifier
TN_cdi_proquest_journals_2421650288
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2421650288
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2007.03839
