Diffusion distribution model for damage mitigation in scanning transmission electron microscopy

Despite the widespread use of Scanning Transmission Electron Microscopy (STEM) for observing the structure of materials at the atomic scale, a detailed understanding of some relevant electron beam damage mechanisms is limited. Recent reports suggest that certain types of damage can be modelled as a diffusion process and that the accumulation effects of this process must be kept low in order to reduce damage. We therefore develop an explicit mathematical formulation of spatiotemporal diffusion processes in STEM that take into account both instrument and sample parameters. Furthermore, our framework can aid the design of Diffusion Controlled Sampling (DCS) strategies using optimally selected probe positions in STEM, that constrain the cumulative diffusion distribution. Numerical simulations highlight the variability of the cumulative diffusion distribution for different experimental STEM configurations. These analytical and numerical frameworks can subsequently be used for careful design of 2- and 4-dimensional STEM experiments where beam damage is minimised.

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Publication Details

Journal
Journal of Microscopy
Published
2024-08-21
DOI
https://doi.org/10.1111/jmi.13351
Citations
10
Primary Topic
Advanced Electron Microscopy Techniques and Applications
Type
article
Field-Weighted Citation Impact
5.22

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article

Diffusion distribution model for damage mitigation in scanning transmission electron microscopy

Abner Velazco‐Torrejon, Daniel Nicholls, Nigel D. Browning, Angus I. Kirkland et al.
10 citations
Journal of Microscopy
Advanced Electron Microscopy Techniques and Applications
5.22
article

Diffusion distribution model for damage mitigation in scanning transmission electron microscopy

Abner Velazco‐Torrejon, Daniel Nicholls, Nigel D. Browning, Angus I. Kirkland, Alex W. Robinson, Amirafshar Moshtaghpour
article en
10 citations

Abstract

Despite the widespread use of Scanning Transmission Electron Microscopy (STEM) for observing the structure of materials at the atomic scale, a detailed understanding of some relevant electron beam damage mechanisms is limited. Recent reports suggest that certain types of damage can be modelled as a diffusion process and that the accumulation effects of this process must be kept low in order to reduce damage. We therefore develop an explicit mathematical formulation of spatiotemporal diffusion processes in STEM that take into account both instrument and sample parameters. Furthermore, our framework can aid the design of Diffusion Controlled Sampling (DCS) strategies using optimally selected probe positions in STEM, that constrain the cumulative diffusion distribution. Numerical simulations highlight the variability of the cumulative diffusion distribution for different experimental STEM configurations. These analytical and numerical frameworks can subsequently be used for careful design of 2- and 4-dimensional STEM experiments where beam damage is minimised.

Journal of MicroscopyVol. 297(1)
University of Liverpool (GB), University of Oxford (GB), Rosalind Franklin Institute (GB)
UK Research and Innovation, University of Oxford, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 5%
Advanced Electron Microscopy Techniques and Applications
5.22
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Diffusion distribution model for damage mitigation in scanning transmission electron microscopy — Abner Velazco‐Torrejon, Daniel Nicholls, et al. · Journal of Microscopy (2024) | TGRS Research Map | TGRS