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Here we report the use of multislice simulations to investigate the extent to which this assumption is met in HAADF-STEM imaging.
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A confidence level of ±1 atom per atomic column along the viewing direction on the thickness estimation is indicated by the use of multislice image simulation.
The time saving is clearly evident with the use of multislice as seen in Fig. 5 by the decreased scanning time.
In this study and others, we have used multislice simulations to validate the tomographic reconstructions and estimate both the position and chemical identification errors [13, 14].
These studies benefit from the use of HRSTEM multislice image simulations [14, 15] and Gaussian mixture models (GMMs) [16] to relate the integrated signal of each atomic column to their thickness with high accuracy.
Multislice simulations were performed using Matlab code following the methods of Kirkland [29].
Using the known crystal structure of Au9, a tableau of multislice image simulations was constructed by rotating the molecule about two orthogonal symmetry axes.
The first half of the algorithm requires B/F 2 multislice simulations, where B is the number of beams included in the full-resolution simulation, which will be reduced by the interpolation factor squared.
From multislice simulations we estimate the thickness of the crystalline portion of this sample ranges from 3 to 7 nm.
We will now approximate the computation time of the PRISM algorithm, relative to traditional multislice simulations.
These output wave dimensions can be reduced by a factor of 4, if the multislice simulation uses an antialiasing aperture positioned at half of the maximum scattering angle [20].
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