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Improved Reliability Performances of SONOS-Type Devices Using Hot-Hole Erase Method by Novel Negative FN Operations

机译:通过新型负FN操作使用热孔擦除方法提高SONOS型设备的可靠性

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Several novel negative Fowler–Nordheim (FN) operations for hot-hole-erased SONOS-type devices are studied. By using $hbox{p}^{+}$ -poly gate instead of $hbox{n}^{+}$ -poly gate, gate injection is greatly suppressed, and the device shows self-convergent $V_{rm T}$ after $-$FN. By using this self-converging property, $-$ FN operation can be applied to both erased and programmed states in various sequences/algorithms. In the erase state, a short $-$FN channel erase called “soft erase” can be performed after hot-hole sector erase. It provides a strong electrical annealing effect to recover the hot-hole damages. On the other hand, “refill” is a shorter version of the soft erase method that expels shallow-level electrons and replaces them with deeper level ones. A spectrum blue shift model is proposed to explain the shifting of the trapped-electron energy distribution to a bluer (deeper) spectrum during refill. Various soft erase and refill conditions are examined to study the charge loss mechanism. The experimental results exhibit superior retention by combining the suitable soft erase and refill conditions. We find that the vertical charge losses measured by $V_{rm G}$-accelerated retention test at room temperature (25 $^{circ}hbox{C}$ ) are highly correlated to that measured at high temperature baking (150 $^{circ}hbox{C}$), and a reliability model is proposed to explain these mechanisms.
机译:研究了几种针对热孔擦除的SONOS型设备的新型Fowler-Nordheim负运算(FN)。通过使用$ hbox {p} ^ {+} $ -poly门而非$ hbox {n} ^ {+} $ -poly门,极大地抑制了门注入,并且该器件显示了自收敛的$ V_ {rm T} $-$ FN之后的$。通过使用此自收敛属性,可以按各种顺序/算法将$-$ FN操作应用于擦除状态和已编程状态。在擦除状态下,可以在热孔扇区擦除之后执行称为“软擦除”的短$-$ FN通道擦除。它具有很强的电退火效果,可以恢复热孔损伤。另一方面,“重新填充”是软擦除方法的简化版本,可排出浅层电子并将其替换为深层电子。提出了光谱蓝移模型来解释在重新填充过程中捕获的电子能量分布向更蓝(更深)的光谱移动。检查了各种软擦除和填充条件,以研究电荷损失机制。通过结合适当的软擦除和重新填充条件,实验结果显示出卓越的保留能力。我们发现,在室温(25 $ ^ {circ} hbox {C} $)下,通过$ V_ {rm G} $加速保留测试测得的垂直电荷损耗与高温烘烤(150 $ ^ {circ} hbox {C} $),并提出了一种可靠性模型来解释这些机制。

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