This work presents a statistical analysis of nanocrystal (NC) memory reliability. Characterization of data retention for 256 Kbit arrays after high-field stress provides evidence for an anomalous tail of one-few leaky cells. The statistical impact of the anomalous tail (about 10(-6)-10(-1)) is shown to be largely reduced as compared to conventional Hash arrays with continuous floating gate. The SILC immunity in our samples is discussed based on discrete-storage effects. Finally, we present a new Monte Carlo model for lateral tunneling in the NC network, which quantitatively accounts for the observed anomalous tail in the array.
Statistical analysis of nanocrystal memory reliability
MONZIO COMPAGNONI, CHRISTIAN;IELMINI, DANIELE;SOTTOCORNOLA SPINELLI, ALESSANDRO;LACAITA, ANDREA LEONARDO;
2004-01-01
Abstract
This work presents a statistical analysis of nanocrystal (NC) memory reliability. Characterization of data retention for 256 Kbit arrays after high-field stress provides evidence for an anomalous tail of one-few leaky cells. The statistical impact of the anomalous tail (about 10(-6)-10(-1)) is shown to be largely reduced as compared to conventional Hash arrays with continuous floating gate. The SILC immunity in our samples is discussed based on discrete-storage effects. Finally, we present a new Monte Carlo model for lateral tunneling in the NC network, which quantitatively accounts for the observed anomalous tail in the array.File | Dimensione | Formato | |
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