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Data cluster analysis and machine learning for classification of twisted bilayer graphene

Data cluster analysis and machine learning for classification of twisted bilayer graphene

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2553397847

Data cluster analysis and machine learning for classification of twisted bilayer graphene

About this item

Full title

Data cluster analysis and machine learning for classification of twisted bilayer graphene

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-07

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Twisted bilayer graphene (TBLG) has emerged as an exciting new material with tunable electronic properties ranging from superconductivity to correlated insulating phases. But current methods of fabrication and identification of TBLG are painstaking and laborious. In this work, we combine Raman spectroscopy with the Gaussian mixture model (GMM) data...

Alternative Titles

Full title

Data cluster analysis and machine learning for classification of twisted bilayer graphene

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2553397847

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2553397847

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2107.08919

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