Excellent resistance variability control of WOx ReRAM by a smart writing algorithm

Yu-Hsuan Lin, Jau-Yi Wu, Ming-Hsiu Lee, Tien-Yen Wang, Yu-Yu Lin, F. Lee, Dai-Ying Lee, E. Lai, K. Chiang, H. Lung, K. Hsieh, T. Tseng, Chih-Yuan Lu
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引用次数: 2

Abstract

TMO ReRAMs, being built on defect states, are intrinsically subject to variability. In this work, cell to cell variability is studied by applying write shots with different current and voltage for Forming, SET and RESET operation, respectively. We found the keys to eliminate tail bits consist of (1) longer write pulse, (2) higher write current and (3) higher write voltage. In order to optimize the performance of write speed, write power and device reliability, we developed a novel resistance control method using a smart writing algorithm. Compared to the conventional ISPP writing scheme, this smart writing algorithm covers much wider switching condition variability and cell-to-cell variation by controlling both current and voltage for ReRAM operation.
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采用智能写入算法对WOx ReRAM进行了优良的电阻变异性控制
基于缺陷状态构建的TMO reram本质上受制于可变性。在这项工作中,通过分别应用不同电流和电压的写入shot进行成形,SET和RESET操作,研究了细胞间的可变性。我们发现消除尾位的关键包括(1)更长的写入脉冲,(2)更高的写入电流和(3)更高的写入电压。为了优化写入速度、写入功率和器件可靠性的性能,我们开发了一种采用智能写入算法的新型电阻控制方法。与传统的ISPP写入方案相比,这种智能写入算法通过控制ReRAM操作的电流和电压,涵盖了更广泛的开关条件可变性和细胞间的变化。
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