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A fast image simulation algorithm for scanning transmission electron microscopy
Open accessAbstract
Image simulation for scanning transmission electron microscopy at atomic resolution for samples with realistic dimensions can require very large computation times using existing simulation algorithms. We present a new algorithm named PRISM that combines features of the two most commonly used algorithms, namely the Bloch wave and multislice methods. PRISM uses a Fourier interpolation factor f that has typical values of 4–20 for atomic resolution simulations. We show that in many cases PRISM can provide a speedup that scales with f4 compared to multislice simulations, with a negligible loss of accuracy. We demonstrate the usefulness of this method with large-scale scanning transmission electron microscopy image simulations of a crystalline nanoparticle on an amorphous carbon substrate.
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Recent advances and applications of deep learning methods in materials science
Choudhary, K., DeCost, B., Chen, C., Jain, A., Tavazza, F., Cohn, R., Park, C. W., Choudhary, A., Agrawal, A., Billinge, S. J. L., et al. (2022) · npj Computational Materials · doi:10.1038/s41524-022-00734-6 · Cited by 1,172
“com/prism-em/prismatic [236] AtomVision https://github.”
Savitzky, B. H., Zeltmann, S. E., Hughes, L. A., Brown, H. G., Zhao, S., Pelz, P. M., Pekin, T. C., Barnard, E. S., Donohue, J., Rangel DaCosta, L., et al. (2021) · Microscopy and Microanalysis · doi:10.1017/s1431927621000477 · Cited by 353
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Metadata
- Authors
- Ophus, C.
- Venue
- Advanced Structural and Chemical Imaging
- Published
- 2017-05-10
- Volume
- 3
- Issue
- 1
- Pages
- 13-13
- ISSN
- 2198-0926 (ISSN-L)
- OpenAlex
- W2586460992
- Cited by
- 174
- References
- 0
- FWCI
- 4.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
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