Article Element discrimination in a hexagonal boron nitride nanosheet by aberration corrected transmission electron microscopy

Masanori Mitome SAMURAI ORCID ; Hidetaka Sawada ; Yukihito Kondo ; Yasumasa Tanishiro ; Kunio Takayanagi

Collection

Citation
Masanori Mitome, Hidetaka Sawada, Yukihito Kondo, Yasumasa Tanishiro, Kunio Takayanagi. Element discrimination in a hexagonal boron nitride nanosheet by aberration corrected transmission electron microscopy. ULTRAMICROSCOPY. 2012, 122 (), 6-11. https://doi.org/10.1016/j.ultramic.2012.07.028
SAMURAI

Alternative title: 収差補正透過電子顕微鏡法を用いた六方晶窒化ホウ素の元素識別

Description:

(abstract)

Boron nitride nanosheets prepared by an exfoliation technique were observed by aberration
corrected transmission electron microscopy at 300 kV acceleration voltage. Single boron and nitrogen atoms in a monolayer region were imaged with different image contrast; a boron atom gave 16% less contrast than a nitrogen atom. The number of atoms at each hexagonal ring site was determined by the image intensity that changed discretely with a 0.25 - 0.30 intensity difference. A double BN sheet was found to have a boron vacancy layer, and a triple BN layer has also a boron deficient layer on the incident surface resulting from the electron beam thinning process. The high sensitivity for atomic species was achieved by the high resolution and a small information limit due to the use of a cold field emission electron source.

Rights:

Keyword: High resolution, Aberration corrector, Boron nitride, Nanosheet

Date published: 2012-08-02

Publisher: Elsevier BV

Journal:

  • ULTRAMICROSCOPY (ISSN: 03043991) vol. 122 p. 6-11

Funding:

Manuscript type: Author's version (Accepted manuscript)

MDR DOI: https://doi.org/10.48505/nims.4419

First published URL: https://doi.org/10.1016/j.ultramic.2012.07.028

Related item:

Other identifier(s):

Contact agent:

Updated at: 2024-03-05 08:30:16 +0900

Published on MDR: 2024-03-05 08:30:16 +0900

Filename Size
Filename ULTRAM-D-10-00317R3.pdf (Thumbnail)
application/pdf
Size 567 KB Detail