Statistical simulations to inspect and predict data retention and program disturbs in flash memories
Luca Larcher, Paolo Pavan
Abstract
Luca Larcher, Paolo Pavan
Abstract
A new statistical model of stress-induced leakage current (SILC) is implemented and used to predict data retention and program disturbs of state-of-the-art flash memories, and to correlate oxide characterization outputs (density, cross section, energy level of defects) to flash memory reliability. Physical mechanisms inducing the largest threshold voltage (V/sub T/) degradation are explained, and tunnel oxide scaling effects on flash reliability are predicted.
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A new statistical model of stress-induced leakage current (SILC) is implemented and used to predict data retention and program disturbs of state-of-the-art flash memories, and to correlate oxide characterization outputs (density, cross section, energy level of defects) to flash memory reliability. Physical mechanisms inducing the largest threshold voltage (V/sub T/) degradation are explained, and tunnel oxide scaling effects on flash reliability are predicted.
Key concepts: SILC, Data retention, Flash memory, Flash (photography), Reliability (semiconductor), Non-volatile memory, Scaling, Computer science