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Cited by 262

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

A Monte Carlo modeling of electron interaction with solids including cascade secondary electron production

Open access
Ding, Z.‐J., Shimizu, R.·1996·Scanning

Abstract

A new Monte Carlo simulation approach has been developed to describe electron scattering and secondary electron generation processes in solids. This approach is based on the uses of Mott's elastic scattering cross section and Penn's dielectric function. A very good agreement has been found on the energy distribution of backscattered electrons between theoretical calculations and accurate experimental measurement recently made by Goto et al. (1994). This fact confirms that the present Monte Carlo model is very useful for more comprehensive understanding of basic phenomena in electron spec‐troscopy and microscopy, particularly in the sub‐keV energy region where cascade secondary electrons play a dominant role. In this paper the details of the Monte Carlo procedure are described and further application to the mechanism of secondary electron generation is presented.

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Crossref · 10.1002/sca.1996.4950180204

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Metadata

Authors
Ding, Z. ‐., & Shimizu, R.
Venue
Scanning
Publisher
Wiley
Published
1996-03
Volume
18
Issue
2
Pages
92-113
ISSN
  • 0161-0457 (ISSN-L)
  • 1932-8745
OpenAlex
W2073202612
Cited by
262
References
33
FWCI
3.34
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A Monte Carlo modeling of electron interaction with solids including cascade secondary electron production. https://app.cochat.ai/papers/10.1002/sca.1996.4950180204
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Ding, Z. ‐., & Shimizu, R. (1996). A Monte Carlo modeling of electron interaction with solids including cascade secondary electron production. Scanning. https://doi.org/10.1002/sca.1996.4950180204

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.