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Modeling and simulation of the lateral photovoltage scanning method

Title: Modeling and simulation of the lateral photovoltage scanning method
Authors: Farrell, Patricio; Kayser, Stefan; Rotundo, Nella
Publication Year: 2020
Collection: Weierstrass Institute for Applied Analysis and Stochastics publication server
Subject Terms: article; ddc:510; 35Q81; 35K57; 65N08; Numerische Methoden für innovative Halbleiter-Bauteile; Systeme partieller Differentialgleichungen: Modellierung; numerische Analysis und Simulation; Modellierung und Simulation von Halbleiterstrukturen; Photovoltaik; Lateral-photovoltage-scanning method (LPS); semiconductor simulation; van Roosbroeck system; finite volume simulation; crystal growth
Description: The fast, cheap and nondestructive lateral photovoltage scanning (LPS) method detects inhomogeneities in semiconductors crystals. The goal of this paper is to model and simulate this technique for a given doping profile. Our model is based on the semiconductor device equations combined with a nonlinear boundary condition, modelling a volt meter. To validate our 2D and 3D finite volume simulations, we use theory developed by Tauc [21] to derive three analytical predictions which our simulation results corroborate, even for anisotropic 2D and 3D meshes. Our code runs about two orders of magnitudes faster than earlier implementations based on commercial software [15]. It also performs well for small doping concentrations which previously could not be simulated at all due to numerical instabilities. Our simulations provide experimentalists with reference laser powers for which meaningful voltages can still be measured. For higher laser power the screening effect does not allow this anymore.
Document Type: report
Language: English
Relation: https://doi.org/10.20347/WIAS.PREPRINT.2784
DOI: 10.20347/WIAS.PREPRINT.2784
Availability: https://doi.org/10.20347/WIAS.PREPRINT.2784; https://archive.wias-berlin.de/receive/wias_mods_00003933; https://archive.wias-berlin.de/servlets/MCRFileNodeServlet/wias_derivate_00003205/wias_preprints_2784.pdf; http://www.wias-berlin.de/publications/wias-publ/run.jsp?template=abstract&type=Preprint&year=2020&number=2784
Rights: all rights reserved ; info:eu-repo/semantics/openAccess
Accession Number: edsbas.B8746D14
Database: BASE