A model to predict image formation in the three-dimensional field ion microscope?
File(s)1911.08352v1.pdf (1.47 MB)
Accepted version
Author(s)
Type
Journal Article
Abstract
Field ion microscopy (FIM) was the first technique to image individual atoms on the surface of a material. By a careful control of the field evaporation of surface atoms, the bulk of the material is exposed, and, through digital processing of a sequence of micrographs, an atomically-resolved three-dimensional reconstruction can be achieved. 3DFIM is particularly suited to the direct observation of crystalline defects that underpin the physical properties of materials: vacancies and vacancy clusters, interstitials, dislocations, or grain boundaries. Yet, further developments of 3DFIM are necessary to turn it into a routines technique. Here, we introduce first a protocol for 3DFIM image processing and subsequent tomographic reconstruction. Second, we propose a numerical model enabling simulation of the FIM imaging process. The model combines the meshless algorithm for field evaporation proposed by Rolland et al. (Robin–Rolland Model, or RRM) with fundamental aspects of the field ionization process of the gas image involved in FIM. The proposed model enables the simulation of imaging artefacts that are induced by non-regular field evaporation and by the disturbed electric field distribution near atomic defects. Our model enables more precise interpretation of 3DFIM characterization of structural defects.
Date Issued
2021-01-06
Date Acceptance
2020-04-09
Citation
Computer Physics Communications, 2021, 260, pp.1-13
ISSN
0010-4655
Publisher
Elsevier
Start Page
1
End Page
13
Journal / Book Title
Computer Physics Communications
Volume
260
Copyright Statement
Copyright © 2021 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000608243400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
ADSORPTION
ATOM-PROBE TOMOGRAPHY
Computer Science
Computer Science, Interdisciplinary Applications
CONTRAST
EVAPORATION
Field evaporation
Field ion microscopy
Field ionization
IONIZATION
NEON
Physical Sciences
Physics
Physics, Mathematical
RECONSTRUCTION
RESOLUTION
Science & Technology
Simulation
SURFACE
Technology
Tomography
VACANCIES
Publication Status
Published
Article Number
ARTN 107317
Date Publish Online
2020-04-13