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首页> 外文期刊>IEEE Transactions on Electron Devices >Numerical Analysis of Deep-Trap Behaviors on Retention Time Distribution of DRAMs With Negative Wordline Bias
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Numerical Analysis of Deep-Trap Behaviors on Retention Time Distribution of DRAMs With Negative Wordline Bias

机译:具有负世界线偏差的DREAM保留时间分布的深陷行为的数值分析

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摘要

The data retention time characteristics of the DRAM cell with the negative wordline bias are investigated. With the unique characteristics shown in the gate-induced drain leakage current and the data retention time distribution of the 256-Mb DRAM chip, a model for the sensitivity of data retention time to gate bias is proposed. With the help of two-dimensional device simulation, we found that the relative trap energy (△E{sub}t) of the trap energy to intrinsic Fermi energy plays a key role to determine the retention time of a DRAM cell transistor for the weak cell as well as the normal cell. Also, it is shown the localized trap in the specific region having large electric field is responsible for abnormally large leakage current of the weak cell. An analytic formula for activation energy for the weak cell and the normal cell are also proposed to estimate trap energy level in real device.
机译:研究了具有负字线偏置的DRAM单元的数据保留时间特性。鉴于栅极感应的漏极泄漏电流和256 Mb DRAM芯片的数据保留时间分布显示出独特的特性,提出了数据保留时间对栅极偏置灵敏度的模型。借助二维器件仿真,我们发现陷阱能与固有费米能的相对陷阱能(△E {sub} t)在确定DRAM晶体管对弱势的保持时间方面起着关键作用。细胞和正常细胞。而且,示出了在具有大电场的特定区域中的局部陷阱导致弱电池异常大的泄漏电流。还提出了弱电池和正常电池的激活能的解析公式,以估计实际设备中的陷阱能级。

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