The Fingerprints of Resonant Frequency for Atomic Vacancy Defect Identification in Graphene

The identification of atomic vacancy defects in graphene is an important and challenging issue, which involves inhomogeneous spatial randomness and requires high experimental conditions. In this paper, the fingerprints of resonant frequency for atomic vacancy defect identification are provided, base...

Full description

Bibliographic Details
Main Authors: Liu Chu, Jiajia Shi, Eduardo Souza de Cursi
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Nanomaterials
Subjects:
Online Access:https://www.mdpi.com/2079-4991/11/12/3451