Neural network-based recognition of multiple nanobubbles in graphene-Reference-Cited by-同舟云学术

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Neural network-based recognition of multiple nanobubbles in graphene

Published:2024-12 Issue: Volume:68 Page:44-50
ISSN:1567-1739
Container-title:Current Applied Physics
language:en
Short-container-title:Current Applied Physics

Author:

Kim Subin^ORCID,Myoung Nojoon,Jun Seunghyun,Go Ara^ORCID

Funder

Ministry of Environment

National Research Foundation of Korea

Publisher

Elsevier BV

Reference31 articles.

1. Direct evidence for atomic defects in graphene layers;Hashimoto;Nature,2004

2. Imaging resonant dissipation from individual atomic defects in graphene;Halbertal;Science,2017

3. Intrinsic ripples in graphene;Fasolino;Nat. Mater.,2007

4. Formation of ripples in graphene as a result of interfacial instabilities;Paronyan;ACS Nano,2011

5. Strain-induced pseudo–magnetic fields greater than 300 tesla in graphene nanobubbles;Levy;Science,2010

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