Iron distribution in silicon after solar cell processing: Synchrotron analysis and predictive modeling
The evolution during silicon solar cell processing of performance-limiting iron impurities is investigated with synchrotron-based x-ray fluorescence microscopy. We find that during industrial phosphorus diffusion, bulk precipitate dissolution is incomplete in wafers with high metal content, specific...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | en_US |
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American Institute of Physics (AIP)
2013
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| Online Access: | http://hdl.handle.net/1721.1/78005 https://orcid.org/0000-0002-4609-9312 https://orcid.org/0000-0001-8345-4937 |
| _version_ | 1826216236256591872 |
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| author | Fenning, David P. Hofstetter, Jasmin Bertoni, Mariana I. Hudelson, S. Rinio, M. Lelievre, J. F. Lai, Barry del Canizo, C. Buonassisi, Tonio |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Fenning, David P. Hofstetter, Jasmin Bertoni, Mariana I. Hudelson, S. Rinio, M. Lelievre, J. F. Lai, Barry del Canizo, C. Buonassisi, Tonio |
| author_sort | Fenning, David P. |
| collection | MIT |
| description | The evolution during silicon solar cell processing of performance-limiting iron impurities is investigated with synchrotron-based x-ray fluorescence microscopy. We find that during industrial phosphorus diffusion, bulk precipitate dissolution is incomplete in wafers with high metal content, specifically ingot border material. Postdiffusion low-temperature annealing is not found to alter appreciably the size or spatial distribution of FeSi[subscript 2] precipitates, although cell efficiency improves due to a decrease in iron interstitial concentration. Gettering simulations successfully model experiment results and suggest the efficacy of high- and low-temperature processing to reduce both precipitated and interstitial iron concentrations, respectively. |
| first_indexed | 2024-09-23T16:44:28Z |
| format | Article |
| id | mit-1721.1/78005 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:44:28Z |
| publishDate | 2013 |
| publisher | American Institute of Physics (AIP) |
| record_format | dspace |
| spelling | mit-1721.1/780052022-09-29T21:09:07Z Iron distribution in silicon after solar cell processing: Synchrotron analysis and predictive modeling Fenning, David P. Hofstetter, Jasmin Bertoni, Mariana I. Hudelson, S. Rinio, M. Lelievre, J. F. Lai, Barry del Canizo, C. Buonassisi, Tonio Massachusetts Institute of Technology. Department of Mechanical Engineering Fenning, David P. Bertoni, Mariana I. Hudelson, S. Buonassisi, Tonio The evolution during silicon solar cell processing of performance-limiting iron impurities is investigated with synchrotron-based x-ray fluorescence microscopy. We find that during industrial phosphorus diffusion, bulk precipitate dissolution is incomplete in wafers with high metal content, specifically ingot border material. Postdiffusion low-temperature annealing is not found to alter appreciably the size or spatial distribution of FeSi[subscript 2] precipitates, although cell efficiency improves due to a decrease in iron interstitial concentration. Gettering simulations successfully model experiment results and suggest the efficacy of high- and low-temperature processing to reduce both precipitated and interstitial iron concentrations, respectively. United States. Dept. of Energy (Contract DE-FG36-09GO1900) Spanish Ministry of Science and Innovation (Thincells Project TEC2008-06798-C03-02) 2013-03-27T18:53:00Z 2013-03-27T18:53:00Z 2011-04 2010-10 Article http://purl.org/eprint/type/JournalArticle 0003-6951 1077-3118 http://hdl.handle.net/1721.1/78005 Fenning, D. P. et al. “Iron Distribution in Silicon After Solar Cell Processing: Synchrotron Analysis and Predictive Modeling.” Applied Physics Letters 98.16 (2011): 162103. ©2011 American Institute of Physics https://orcid.org/0000-0002-4609-9312 https://orcid.org/0000-0001-8345-4937 en_US http://dx.doi.org/10.1063/1.3575583 Applied Physics Letters application/pdf American Institute of Physics (AIP) |
| spellingShingle | Fenning, David P. Hofstetter, Jasmin Bertoni, Mariana I. Hudelson, S. Rinio, M. Lelievre, J. F. Lai, Barry del Canizo, C. Buonassisi, Tonio Iron distribution in silicon after solar cell processing: Synchrotron analysis and predictive modeling |
| title | Iron distribution in silicon after solar cell processing: Synchrotron analysis and predictive modeling |
| title_full | Iron distribution in silicon after solar cell processing: Synchrotron analysis and predictive modeling |
| title_fullStr | Iron distribution in silicon after solar cell processing: Synchrotron analysis and predictive modeling |
| title_full_unstemmed | Iron distribution in silicon after solar cell processing: Synchrotron analysis and predictive modeling |
| title_short | Iron distribution in silicon after solar cell processing: Synchrotron analysis and predictive modeling |
| title_sort | iron distribution in silicon after solar cell processing synchrotron analysis and predictive modeling |
| url | http://hdl.handle.net/1721.1/78005 https://orcid.org/0000-0002-4609-9312 https://orcid.org/0000-0001-8345-4937 |
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