Numerical analysis of the retention behavior in nitride storage flash memory
碩士 === 國立交通大學 === 電子工程系所 === 93 === The bottom oxide thickness induced the charge loss blocking effect for a SONOS type flash memory is investigated. Utilizing a numerical analysis based on a multiple trapping model for solving the Shockley-Read-Hall (SRH) rate equations, the more accurate expressio...
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ndltd-TW-093NCTU54280292016-06-06T04:10:40Z http://ndltd.ncl.edu.tw/handle/86474805502454286236 Numerical analysis of the retention behavior in nitride storage flash memory 氮化矽記憶體資料保存行為之數值分析模擬 Hsu Chih-Wei 許智維 碩士 國立交通大學 電子工程系所 93 The bottom oxide thickness induced the charge loss blocking effect for a SONOS type flash memory is investigated. Utilizing a numerical analysis based on a multiple trapping model for solving the Shockley-Read-Hall (SRH) rate equations, the more accurate expressions for retention behavior are developed. In these equations, the classical tunneling and the stress-induced oxide trap-assisted tunneling mainly accounts for the charge loss and the trapped charge via Frenkel-Poole excitation to conduction band coupled with the conduction free carriers recapture by the traps is used to describe the charge transition within silicon-nitride (SiN) film. The free carrier concentration is governed by two competing processes, tunneling out to Si and recaptured by SiN traps. Our study shows that in an unstressed cell the recapture process starts to dominate as the bottom oxide thickness increases. This will block the charge loss and then improve the retention time. In addition, the high temperature enhanced charge escape and the bottom oxide stress effect accelerated data loss have been considered in this thesis. Tahui Wang 汪大暉 2005 學位論文 ; thesis 56 en_US |
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碩士 === 國立交通大學 === 電子工程系所 === 93 === The bottom oxide thickness induced the charge loss blocking effect for a SONOS type flash memory is investigated. Utilizing a numerical analysis based on a multiple trapping model for solving the Shockley-Read-Hall (SRH) rate equations, the more accurate expressions for retention behavior are developed. In these equations, the classical tunneling and the stress-induced oxide trap-assisted tunneling mainly accounts for the charge loss and the trapped charge via Frenkel-Poole excitation to conduction band coupled with the conduction free carriers recapture by the traps is used to describe the charge transition within silicon-nitride (SiN) film. The free carrier concentration is governed by two competing processes, tunneling out to Si and recaptured by SiN traps. Our study shows that in an unstressed cell the recapture process starts to dominate as the bottom oxide thickness increases. This will block the charge loss and then improve the retention time. In addition, the high temperature enhanced charge escape and the bottom oxide stress effect accelerated data loss have been considered in this thesis.
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author2 |
Tahui Wang |
author_facet |
Tahui Wang Hsu Chih-Wei 許智維 |
author |
Hsu Chih-Wei 許智維 |
spellingShingle |
Hsu Chih-Wei 許智維 Numerical analysis of the retention behavior in nitride storage flash memory |
author_sort |
Hsu Chih-Wei |
title |
Numerical analysis of the retention behavior in nitride storage flash memory |
title_short |
Numerical analysis of the retention behavior in nitride storage flash memory |
title_full |
Numerical analysis of the retention behavior in nitride storage flash memory |
title_fullStr |
Numerical analysis of the retention behavior in nitride storage flash memory |
title_full_unstemmed |
Numerical analysis of the retention behavior in nitride storage flash memory |
title_sort |
numerical analysis of the retention behavior in nitride storage flash memory |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/86474805502454286236 |
work_keys_str_mv |
AT hsuchihwei numericalanalysisoftheretentionbehaviorinnitridestorageflashmemory AT xǔzhìwéi numericalanalysisoftheretentionbehaviorinnitridestorageflashmemory AT hsuchihwei dànhuàxìjìyìtǐzīliàobǎocúnxíngwèizhīshùzhífēnxīmónǐ AT xǔzhìwéi dànhuàxìjìyìtǐzīliàobǎocúnxíngwèizhīshùzhífēnxīmónǐ |
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1718294463397232640 |