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Flash memories are critical for embedded devices to operate properly but are susceptible to radiation effects, which make flash memory a key factor to improve the reliability of circuitry. This thesis describes the simulation techniques used to analyze and predict

Flash memories are critical for embedded devices to operate properly but are susceptible to radiation effects, which make flash memory a key factor to improve the reliability of circuitry. This thesis describes the simulation techniques used to analyze and predict total ionizing dose (TID) effects on 90-nm technology Silicon Storage Technology (SST) SuperFlash Generation 3 devices. Silvaco Atlas is used for both device level design and simulation purposes.

The simulations consist of no radiation and radiation modeling. The no radiation modeling details the cell structure development and characterizes basic operations (read, erase and program) of a flash memory cell. The program time is observed to be approximately 10 μs while the erase time is approximately 0.1 ms.

The radiation modeling uses the fixed oxide charge method to analyze the TID effects on the same flash memory cell. After irradiation, a threshold voltage shift of the flash memory cell is observed. The threshold voltages of a programmed cell and an erased cell are reduced at an average rate of 0.025 V/krad.

The use of simulation techniques allows designers to better understand the TID response of a SST flash memory cell and to predict cell level TID effects without performing the costly in-situ irradiation experiments. The simulation and experimental results agree qualitatively. In particular, simulation results reveal that ‘0’ to ‘1’ errors but not ‘1’ to ‘0’ retention errors occur; likewise, ‘0’ to ‘1’ errors dominate experimental testing, which also includes circuitry effects that can cause ‘1’ to ‘0’ failures. Both simulation and experimental results reveal flash memory cell TID resilience to about 200 krad.
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    Title
    • SST SuperFlash modeling and simulation under ionizing radiation
    Contributors
    Date Created
    2016
    Resource Type
  • Text
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    Note
    • thesis
      Partial requirement for: M.S., Arizona State University, 2016
    • bibliography
      Includes bibliographical references (pages 80-83)
    • Field of study: Electrical engineering

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    by Yitao Chen

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