Monte Carlo simulation of the secondary electron yield of silicon rich silicon nitride

Journal Article (2022)
Author(s)

A. M.M.G. Theulings (Nikhef, TU Delft - RST/Neutron and Positron Methods in Materials)

S. X. Tao (Eindhoven University of Technology)

Cornelis Wouter Hagen (TU Delft - ImPhys/Microscopy Instrumentation & Techniques)

Harry van der Graaf (Nikhef, TU Delft - RST/Neutron and Positron Methods in Materials)

Research Group
RST/Neutron and Positron Methods in Materials
Copyright
© 2022 A.M.M.G. Theulings, S. X. Tao, C.W. Hagen, H. van der Graaf
DOI related publication
https://doi.org/10.1088/1748-0221/17/03/P03008
More Info
expand_more
Publication Year
2022
Language
English
Copyright
© 2022 A.M.M.G. Theulings, S. X. Tao, C.W. Hagen, H. van der Graaf
Research Group
RST/Neutron and Positron Methods in Materials
Issue number
3
Volume number
17
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The effect of doping in Si3N4 membranes on the secondary electron yield is investigated using Monte Carlo simulations of the electron-matter interactions. The effect of the concentration and the distribution of the doping in silicon rich silicon nitride membranes is studied by using the energy loss function as obtained from ab initio density functional theory calculations in the electron scattering models of the Monte Carlo simulations. An increasing doping concentration leads to a decreasing maximum secondary electron yield. The distribution of the doped silicon atoms can be optimised in order to minimize the decrease in yield.

Files

Theulings_2022_J._Inst._17_P03... (pdf)
(pdf | 0.65 Mb)
- Embargo expired in 09-09-2022
License info not available