TCAD Simulation of Random Program Charge Induced Threshold Voltage Fluctuations in SONOS Device

碩士 === 國立交通大學 === 電子工程系所 === 96 === Instead of using a conducting poly layer as a storage node in a conventional floating gate device, a charge trap cell utilizes discrete trapping centers of an appropriate dielectric film to achieve a similar memory function. In such structure, the channel potentia...

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Main Authors: Yen-Chen Lin, 林彥君
Other Authors: Tahui Wang
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/48692930445926805661
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spelling ndltd-TW-096NCTU54281342015-10-13T13:51:50Z http://ndltd.ncl.edu.tw/handle/48692930445926805661 TCAD Simulation of Random Program Charge Induced Threshold Voltage Fluctuations in SONOS Device SONOS記憶體因寫入電子之隨機特性造成臨界電壓擾動之模擬分析 Yen-Chen Lin 林彥君 碩士 國立交通大學 電子工程系所 96 Instead of using a conducting poly layer as a storage node in a conventional floating gate device, a charge trap cell utilizes discrete trapping centers of an appropriate dielectric film to achieve a similar memory function. In such structure, the channel potential becomes inhomogeneous due to the discreteness of the storage charges and thus the threshold voltage (VT) will strongly depend on how an inversion percolation path from source to drain is formed in the channel. In this work, SONOS devices with randomly distributed storage charges in a nitride layer are used and the induced VT fluctuations are then emulated by using a three-dimensional drift-diffusion simulator (ISE). In the beginning, the effects of various parameters including channel length, channel width, program window, and both top and bottom oxide thicknesses on the VT fluctuation are studied. For each case, samples of 100 microscopically different programmed cells are used. The statistics variation of VT are then collected and analyzed with respect to each variable. Basically, more programmed charges or the shrinkage of device dimensions will worsen the VT distribution. Besides, the bottom oxide shows more pronounced effect than the top oxide and reasons will be given in this thesis. Finally, to further approach the real situations of memory cells, the effect of random charges with random dopants are also investigated. As expected, the fluctuation of cells gets even worse. Adopting an epi-taxial layer with a lightly doped concentration on the Si surface is useful for suppressing the random dopant effect. But the program state threshold voltage fluctuations can not be improved significantly. Thus, the random charge effect is the main source induced the dispersion of VT. Tahui Wang 汪大暉 2008 學位論文 ; thesis 51 en_US
collection NDLTD
language en_US
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description 碩士 === 國立交通大學 === 電子工程系所 === 96 === Instead of using a conducting poly layer as a storage node in a conventional floating gate device, a charge trap cell utilizes discrete trapping centers of an appropriate dielectric film to achieve a similar memory function. In such structure, the channel potential becomes inhomogeneous due to the discreteness of the storage charges and thus the threshold voltage (VT) will strongly depend on how an inversion percolation path from source to drain is formed in the channel. In this work, SONOS devices with randomly distributed storage charges in a nitride layer are used and the induced VT fluctuations are then emulated by using a three-dimensional drift-diffusion simulator (ISE). In the beginning, the effects of various parameters including channel length, channel width, program window, and both top and bottom oxide thicknesses on the VT fluctuation are studied. For each case, samples of 100 microscopically different programmed cells are used. The statistics variation of VT are then collected and analyzed with respect to each variable. Basically, more programmed charges or the shrinkage of device dimensions will worsen the VT distribution. Besides, the bottom oxide shows more pronounced effect than the top oxide and reasons will be given in this thesis. Finally, to further approach the real situations of memory cells, the effect of random charges with random dopants are also investigated. As expected, the fluctuation of cells gets even worse. Adopting an epi-taxial layer with a lightly doped concentration on the Si surface is useful for suppressing the random dopant effect. But the program state threshold voltage fluctuations can not be improved significantly. Thus, the random charge effect is the main source induced the dispersion of VT.
author2 Tahui Wang
author_facet Tahui Wang
Yen-Chen Lin
林彥君
author Yen-Chen Lin
林彥君
spellingShingle Yen-Chen Lin
林彥君
TCAD Simulation of Random Program Charge Induced Threshold Voltage Fluctuations in SONOS Device
author_sort Yen-Chen Lin
title TCAD Simulation of Random Program Charge Induced Threshold Voltage Fluctuations in SONOS Device
title_short TCAD Simulation of Random Program Charge Induced Threshold Voltage Fluctuations in SONOS Device
title_full TCAD Simulation of Random Program Charge Induced Threshold Voltage Fluctuations in SONOS Device
title_fullStr TCAD Simulation of Random Program Charge Induced Threshold Voltage Fluctuations in SONOS Device
title_full_unstemmed TCAD Simulation of Random Program Charge Induced Threshold Voltage Fluctuations in SONOS Device
title_sort tcad simulation of random program charge induced threshold voltage fluctuations in sonos device
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/48692930445926805661
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