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Secondary electron microscopy dopant contrast image (SEMDCI) for laser doping

Xu, Lujia; Weber, Klaus; Phang, Sieu Pheng; Fell, Andreas; Brink, Frank; Yan, Di; Yang, Xinbo; Franklin, Evan; Chen, Hua

Description

Laser doping has been the subject of intense research over the past decade, due to its potential to enable high-efficiency, low-cost silicon solar cell fabrication. Information about the doping profile that is created by the process is critical for process optimization but is generally difficult to obtain. We apply the technique of secondary electron image (SEI) contrast to the characterization of the cross sections of laser-doped lines. We demonstrate that this technique can be used for a...[Show more]

dc.contributor.authorXu, Lujia
dc.contributor.authorWeber, Klaus
dc.contributor.authorPhang, Sieu Pheng
dc.contributor.authorFell, Andreas
dc.contributor.authorBrink, Frank
dc.contributor.authorYan, Di
dc.contributor.authorYang, Xinbo
dc.contributor.authorFranklin, Evan
dc.contributor.authorChen, Hua
dc.date.accessioned2015-12-13T22:22:44Z
dc.identifier.issn2156-3381
dc.identifier.urihttp://hdl.handle.net/1885/72391
dc.description.abstractLaser doping has been the subject of intense research over the past decade, due to its potential to enable high-efficiency, low-cost silicon solar cell fabrication. Information about the doping profile that is created by the process is critical for process optimization but is generally difficult to obtain. We apply the technique of secondary electron image (SEI) contrast to the characterization of the cross sections of laser-doped lines. We demonstrate that this technique can be used for a large range of different dopant sources and different laser doping methods and that good dopant contrast can be obtained under a relatively wide range of microscope parameters. Comparison of dopant contrast and doping density profiles shows that the substrate doping is an important parameter that can significantly influence the dopant contrast, particularly at low (∼10 $18 cm$-3) and high (∼10 $20 cm$-3 ) dopant densities. When suitable calibration samples are used, the technique can be employed to obtain quantitative dopant density images for p-type laser-doped regions, albeit currently over a limited range of dopant densities and with relatively large error. Furthermore, the technique can be used to evaluate the risk of metallization shunts near the edges of dielectric film windows that are opened by the laser.
dc.publisherIEEE Electron Devices Society
dc.sourceIEEE Journal of Photovoltaics
dc.subjectKeywords: Calibration samples; Contrast; Doping densities; Laser doping; Secondary electron images; Secondary electron microscopy; Solar cell fabrication; Substrate doping; Dielectric films; Electron microscopes; Electron microscopy; Electron optics; Laser windows; Contrast; laser doping; secondary electron image (SEI); secondary electron microscopy (SEM)
dc.titleSecondary electron microscopy dopant contrast image (SEMDCI) for laser doping
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume3
dc.date.issued2013
local.identifier.absfor090600 - ELECTRICAL AND ELECTRONIC ENGINEERING
local.identifier.absfor030600 - PHYSICAL CHEMISTRY (INCL. STRUCTURAL)
local.identifier.ariespublicationf5625xPUB3223
local.type.statusPublished Version
local.contributor.affiliationXu, Lujia, College of Engineering and Computer Science, ANU
local.contributor.affiliationWeber, Klaus, College of Engineering and Computer Science, ANU
local.contributor.affiliationPhang, Sieu Pheng, College of Engineering and Computer Science, ANU
local.contributor.affiliationFell, Andreas, College of Engineering and Computer Science, ANU
local.contributor.affiliationBrink, Frank, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationYan, Di, College of Engineering and Computer Science, ANU
local.contributor.affiliationYang, Xinbo, College of Engineering and Computer Science, ANU
local.contributor.affiliationFranklin, Evan, College of Engineering and Computer Science, ANU
local.contributor.affiliationChen, Hua, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage762
local.bibliographicCitation.lastpage768
local.identifier.doi10.1109/JPHOTOV.2013.2241820
dc.date.updated2016-02-24T09:06:48Z
local.identifier.scopusID2-s2.0-84875602667
local.identifier.thomsonID000318437200025
CollectionsANU Research Publications

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