Literature DB >> 26624515

Dopant profiling based on scanning electron and helium ion microscopy.

Augustus K W Chee1, Stuart A Boden2.   

Abstract

In this paper, we evaluate and compare doping contrast generated inside the scanning electron microscope (SEM) and scanning helium ion microscope (SHIM). Specialised energy-filtering techniques are often required to produce strong doping contrast to map donor distributions using the secondary electron (SE) signal in the SEM. However, strong doping contrast can be obtained from n-type regions in the SHIM, even without energy-filtering. This SHIM technique is more sensitive than the SEM to donor density changes above its sensitivity threshold, i.e. of the order of 10(16) or 10(17)donorscm(-3) respectively on specimens with or without a p-n junction; its sensitivity limit is well above 2×10(17)acceptorscm(-3) on specimens with or without a p-n junction. Good correlation is found between the widths and slopes of experimentally measured doping contrast profiles of thin p-layers and the calculated widths and slopes of the potential energy distributions across these layers, at a depth of 1 to 3nm and 5 to 10nm below the surface in the SHIM and the SEM respectively. This is consistent with the mean escape depth of SEs in silicon being about 1.8nm and 7nm in the SHIM and SEM respectively, and we conclude that short escape depth, low energy SE signals are most suitable for donor profiling.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Doping contrast; Electric potentials; Escape depth; P–n junction; Secondary electron energy filtering; Sensitivity limit; Surface band-bending

Year:  2015        PMID: 26624515     DOI: 10.1016/j.ultramic.2015.10.003

Source DB:  PubMed          Journal:  Ultramicroscopy        ISSN: 0304-3991            Impact factor:   2.689


  1 in total

1.  Enhancing doping contrast and optimising quantification in the scanning electron microscope by surface treatment and Fermi level pinning.

Authors:  Augustus K W Chee
Journal:  Sci Rep       Date:  2018-03-27       Impact factor: 4.379

  1 in total

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