Stathopoulos Spyros, Khiat Ali, Trapatseli Maria, Cortese Simone, Serb Alexantrou, Valov Ilia, Prodromakis Themis
Department of Electronics and Computer Science, Faculty of Physical Science and Engineering, University of Southampton, University Road, SO17 1BJ, Southampton, United Kingdom.
Forschungszentrum Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
Sci Rep. 2017 Dec 13;7(1):17532. doi: 10.1038/s41598-017-17785-1.
Emerging nanoionic memristive devices are considered as the memory technology of the future and have been winning a great deal of attention due to their ability to perform fast and at the expense of low-power and -space requirements. Their full potential is envisioned that can be fulfilled through their capacity to store multiple memory states per cell, which however has been constrained so far by issues affecting the long-term stability of independent states. Here, we introduce and evaluate a multitude of metal-oxide bi-layers and demonstrate the benefits from increased memory stability via multibit memory operation. We propose a programming methodology that allows for operating metal-oxide memristive devices as multibit memory elements with highly packed yet clearly discernible memory states. These states were found to correlate with the transport properties of the introduced barrier layers. We are demonstrating memory cells with up to 6.5 bits of information storage as well as excellent retention and power consumption performance. This paves the way for neuromorphic and non-volatile memory applications.
新兴的纳米离子忆阻器件被视为未来的存储技术,因其能够快速运行且功耗低、空间需求小而备受关注。人们设想其全部潜力可通过每个单元存储多个存储状态的能力来实现,然而到目前为止,这受到影响独立状态长期稳定性问题的限制。在此,我们引入并评估了多种金属氧化物双层结构,并通过多位存储操作展示了提高存储稳定性的益处。我们提出了一种编程方法,可使金属氧化物忆阻器件作为具有高度紧凑且清晰可辨存储状态的多位存储元件运行。发现这些状态与引入的势垒层的传输特性相关。我们展示了具有高达6.5位信息存储能力以及出色的保持和功耗性能的存储单元。这为神经形态和非易失性存储应用铺平了道路。