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Electronic and vibrational properties of interstitial clusters in degenerately boron-doped silicon [dataset] Open Access

Degenerate boron-doped silicon is prone to interstitial clustering, which adversely impacts key electrical properties, such as carrier concentration and mobility. Clustering becomes increasingly important with device miniaturisation, due to the high boron concentrations involved. Here we use vibrational and Compton electron energy loss spectroscopy (EELS) in a (scanning) transmission electron microscope to measure changes in the vibrational and electronic properties of the silicon host lattice due to degenerate boron doping (1020 cm−3 hole concentration). A broad phonon defect band centred at 1064 cm−1 wavenumber was detected. Subtle changes in bonding anisotropy due to boron doping along [110] and [100] directions were also observed. Density functional theory (DFT) modelling showed that boron acceptors had very little effect on the phonon and bonding properties. Instead boron interstitial clusters two to three atoms in size produced changes that agreed more closely with experiment. The results suggest the potential of using high spatial resolution EELS for the detection of clustering phenomena at the device level.

Descriptions

Resource type
Dataset
Contributors
Creator: Mendis, Budhika Gehan 1
Dhamotharan, Kaviyadharshini 1
1 Durham University
Funder
Engineering and Physical Sciences Research Council
Government of India
Research methods
Other description
Keyword
Vibrational electron energy loss spectroscopy
Electron Compton scattering
Phonon defect modes
Bonding anisotropy
Degenerate boron-doped silicon
Subject
Electrons, Compton
Phonons--Scattering
Anisotropy
Boron--Spectra
Location
Language
Cited in
Identifier
ark:/32150/r1mw22v5500
doi:10.15128/r1mw22v5500
Rights
Creative Commons Attribution 4.0 International (CC BY)

Publisher
Durham University
Date Created

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B.G. Mendis
Date Uploaded
Date Modified
13 May 2025, 14:05:03
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File format: zip (ZIP Format)
Mime type: application/zip
File size: 244708
Last modified: 2025:05:12 14:04:06+01:00
Filename: Raw data files.zip
Original checksum: 8d0c05222168c004374692040e91bc5f
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