Characterization and Modeling of Advanced Charge Trapping Non Volatile Memories

Characterization and Modeling of Advanced Charge Trapping Non Volatile Memories
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Total Pages : 162
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ISBN-10 : OCLC:898324454
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Book Synopsis Characterization and Modeling of Advanced Charge Trapping Non Volatile Memories by : Vincenzo Della marca

Download or read book Characterization and Modeling of Advanced Charge Trapping Non Volatile Memories written by Vincenzo Della marca and published by . This book was released on 2013 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: The silicon nanocrystal memories are one of the most attractive solutions to replace the Flash floating gate for nonvolatile memory embedded applications, especially for their high compatibility with CMOS process and the lower manufacturing cost. Moreover, the nanocrystal size guarantees a weak device-to-device coupling in an array configuration and, in addition, for this technology it has been shown the robustness against SILC. One of the main challenges for embedded memories in portable and contactless applications is to improve the energy consumption in order to reduce the design constraints. Today the application request is to use the Flash memories with both low voltage biases and fast programming operation. In this study, we present the state of the art of Flash floating gate memory cell and silicon nanocrystal memories. Concerning this latter device, we studied the effect of main technological parameters in order to optimize the cell performance. The aim was to achieve a satisfactory programming window for low energy applications. Furthermore, the silicon nanocrystal cell reliability has been investigated. We present for the first time a silicon nanocrystal memory cell with a good functioning after one million write/erase cycles, working on a wide range of temperature [-40°C; 150°C]. Moreover, ten years data retention at 150°C is extrapolated. Finally, the analysis concerning the current and energy consumption during the programming operation shows the opportunity to use the silicon nanocrystal cell for low power applications. All the experimental data have been compared with the results achieved on Flash floating gate memory, to show the performance improvement.

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Methods for optimizing the gate stack of charge trapping NVSM devices are also examined in this thesis. The performance of silicon-rich and stoichiometric nitri