基于分子的快闪存储器中电荷捕获的多尺度建模

O. Badami, T. Sadi, V. Georgiev, F. Adamu-Lema, V. Thirunavukkarasu, J. Ding, A. Asenov
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引用次数: 2

摘要

为了跟上存储数据需求的增长,闪存已经被半导体行业大幅缩小并堆叠起来。此外,处理大数据也凸显了冯·诺伊曼架构的局限性。为了克服这个问题,不同类型的存储设备,如电阻随机存取存储器(rram)也变得非常重要。因此,近年来,氧化物中的载流子动力学得到了极大的关注。在这项工作中,我们讨论了在我们的集成模拟环境NESS(纳米电子模拟软件)中实现的动力学蒙特卡罗方法,该方法允许我们使用精确的基于物理的模型来研究氧化物中的载流子输运。作为一个例子,我们研究了分子基闪存的保留特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiscale Modeling of Charge Trapping in Molecule Based Flash Memories
To keep up with the increase in demand for storing data, flash memories have been scaled down dramatically and stacked by the semiconductor industry. Furthermore, processing large data has highlighted the limitations of the von Neumann architecture. To overcome this, different types of memory devices like Resistive Random-Access Memories (RRAMs) have also gained a lot of importance. Hence, carrier dynamics in oxides has gained significant traction in recent years. In this work, we discuss the kinetic Monte Carlo methodology as implemented in our integrated simulation environment NESS (Nano-Electronic Simulation Software) that allows us to study carrier transport in the oxide using accurate physics based models. As an example, we study the retention characteristics in a molecule based flash memory.
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