KPFM surface photovoltage measurement and numerical simulation

A method for the analysis of Kelvin probe force microscopy (KPFM) characterization of semiconductor devices is presented. It enables evaluation of the influence of defective surface layers. The model is validated by analysing experimental KPFM measurements on crystalline silicon samples of contact p...

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Main Authors: Marchat Clément, Connolly James P., Kleider Jean-Paul, Alvarez José, Koduvelikulathu Lejo J., Puel Jean Baptiste
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:EPJ Photovoltaics
Subjects:
spv
Online Access:https://www.epj-pv.org/articles/epjpv/full_html/2019/01/pv180014/pv180014.html
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spelling doaj-822f0007498d4d43aefe760b5c644e842021-04-02T18:16:38ZengEDP SciencesEPJ Photovoltaics2105-07162019-01-0110310.1051/epjpv/2019002pv180014KPFM surface photovoltage measurement and numerical simulationMarchat ClémentConnolly James P.0Kleider Jean-Paul1Alvarez José2Koduvelikulathu Lejo J.3Puel Jean BaptisteGeePs, UMR CNRS 8507, Centralesupélec, Université Paris-Sud, Université Paris-Saclay, Sorbonne UniversitéGeePs, UMR CNRS 8507, Centralesupélec, Université Paris-Sud, Université Paris-Saclay, Sorbonne UniversitéGeePs, UMR CNRS 8507, Centralesupélec, Université Paris-Sud, Université Paris-Saclay, Sorbonne UniversitéISC-Konstanz e.V.A method for the analysis of Kelvin probe force microscopy (KPFM) characterization of semiconductor devices is presented. It enables evaluation of the influence of defective surface layers. The model is validated by analysing experimental KPFM measurements on crystalline silicon samples of contact potential difference (VCPD) in the dark and under illumination, and hence the surface photovoltage (SPV). It is shown that the model phenomenologically explains the observed KPFM measurements. It reproduces the magnitude of SPV characterization as a function of incident light power in terms of a defect density assuming Gaussian defect distribution in the semiconductor bandgap. This allows an estimation of defect densities in surface layers of semiconductors and therefore increased exploitation of KPFM data.https://www.epj-pv.org/articles/epjpv/full_html/2019/01/pv180014/pv180014.htmlkpfmspvsurface defectsmodeling and band bending
collection DOAJ
language English
format Article
sources DOAJ
author Marchat Clément
Connolly James P.
Kleider Jean-Paul
Alvarez José
Koduvelikulathu Lejo J.
Puel Jean Baptiste
spellingShingle Marchat Clément
Connolly James P.
Kleider Jean-Paul
Alvarez José
Koduvelikulathu Lejo J.
Puel Jean Baptiste
KPFM surface photovoltage measurement and numerical simulation
EPJ Photovoltaics
kpfm
spv
surface defects
modeling and band bending
author_facet Marchat Clément
Connolly James P.
Kleider Jean-Paul
Alvarez José
Koduvelikulathu Lejo J.
Puel Jean Baptiste
author_sort Marchat Clément
title KPFM surface photovoltage measurement and numerical simulation
title_short KPFM surface photovoltage measurement and numerical simulation
title_full KPFM surface photovoltage measurement and numerical simulation
title_fullStr KPFM surface photovoltage measurement and numerical simulation
title_full_unstemmed KPFM surface photovoltage measurement and numerical simulation
title_sort kpfm surface photovoltage measurement and numerical simulation
publisher EDP Sciences
series EPJ Photovoltaics
issn 2105-0716
publishDate 2019-01-01
description A method for the analysis of Kelvin probe force microscopy (KPFM) characterization of semiconductor devices is presented. It enables evaluation of the influence of defective surface layers. The model is validated by analysing experimental KPFM measurements on crystalline silicon samples of contact potential difference (VCPD) in the dark and under illumination, and hence the surface photovoltage (SPV). It is shown that the model phenomenologically explains the observed KPFM measurements. It reproduces the magnitude of SPV characterization as a function of incident light power in terms of a defect density assuming Gaussian defect distribution in the semiconductor bandgap. This allows an estimation of defect densities in surface layers of semiconductors and therefore increased exploitation of KPFM data.
topic kpfm
spv
surface defects
modeling and band bending
url https://www.epj-pv.org/articles/epjpv/full_html/2019/01/pv180014/pv180014.html
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