Title
Capacitance voltage curve simulations for different passivation parameters of dielectric layers on silicon
Date Issued
13 January 2020
Access level
open access
Resource Type
conference paper
Publisher(s)
Institute of Physics Publishing
Abstract
Surface passivation is a widely used technique to reduce the recombination losses at the semiconductor surface. The passivating layer performance can be mainly characterized by two parameters: The fixed charge density (Q ox) and the interface trap density (D it) which can be extracted from Capacitance-Voltage measurements (CV). In this paper, simulations of High-Frequency Capacitance-Voltage (HF-CV) curves were developed using simulated passivation parameters in order to examine the reliability of measured results. The D it was modelled by two different sets of functions: First, the sum of Gaussian functions representing different dangling bond types and exponential tails for strained bonds. Second, a simpler U-shape model represented by the sum of exponential tails and a constant value function was employed. These simulations were validated using experimental measurements of a reference sample based on silicon dioxide on crystalline silicon (SiO2/c-Si). Additionally, a fitting process of HF-CV curves was proposed using the simple U-shape D it model. A relative error of less than 0.4% was found comparing the average values between the approximated and the experimentally extracted D it's. The constant function of the approximated D it represents an average of the experimentally extracted D it for values around the midgap energy where the recombination efficiency is highest.
Volume
1433
Issue
1
Language
English
OCDE Knowledge area
Física de partículas, Campos de la Física
Scopus EID
2-s2.0-85079011014
Source
Journal of Physics: Conference Series
ISSN of the container
17426588
Conference
Peruvian Workshop on Solar Energy 2019, JOPES 2019
Sponsor(s)
We thank Dr. Walter Füssel and Prof. César Guerra Gutierrez for the fruitful discussions. Support of the Peruvian National Council for Science, Technology and Innovation (CONCYTEC) is gratefully acknowledged: Contract N°132-2017. The authors are also thankful to the financial support given by FONDECYT through Contract N°045-2018. This research was also supported by the Research Managements Office (DGI) of the Pontificia Universidad Católica del Perú (PUCP) through grant no. CAP-2019-3-0041.
Sources of information: Directorio de Producción Científica Scopus