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Multibit memory operation of metal-oxide bi-layer memristors (1704.03313v1)

Published 4 Apr 2017 in cond-mat.mes-hall

Abstract: In this work, we evaluate a multitude of metal-oxide bi-layers and demonstrate the benefits from increased memory stability via multibit memory operation. We introduce a programming methodology that allows for operating metal-oxide memristive devices as multibit memory elements with highly packed yet clearly discernible memory states. We finally demonstrate a 5.5-bit memory cell (47 resistive states) with excellent retention and power consumption performance. This paves the way for neuromorphic and non-volatile memory applications.

Citations (234)

Summary

  • The paper introduces a 5.5-bit cell with 47 stable resistive states that boosts memory density and energy efficiency.
  • It employs a pulse-based electroforming protocol with an Al₂O₃/TiO₂ configuration to enhance multibit switching stability.
  • Findings indicate significant potential for neuromorphic computing and high-density non-volatile memory technologies.

Multibit Memory Operation of Metal-Oxide Bi-Layer Memristors

The paper under review presents an in-depth investigation into the multibit memory capabilities of metal-oxide bi-layer memristors. The focus is on enabling metal-oxide memristive devices to function as multibit memory components that can possess a multitude of states, offering enhanced memory stability. Notably, the researchers have successfully engineered a 5.5-bit memory cell, comprising 47 resistive states, showcasing remarkable retention and power efficiency. This advancement promises significant implications in the realms of neuromorphic and non-volatile memory technologies.

Memristors have emerged as compelling candidates for non-volatile memory systems due to their ability to support multiple states, exhibit long retention times, switch states swiftly, and consume ultralow power. Among various memory technologies, resistive random access memory (ReRAM) has demonstrated superior operational capabilities, functioning in the femtojoule energy regime and overcoming the size constraints faced by CMOS technology. However, implementing stable multibit operations with memristors, as opposed to the conventional bistable (1-bit) approach, remains a critical challenge in the field.

The paper explores resistive switching using several metal-oxide systems, with a focus on materials like Ta₂O₅, HfO₂, and TiO₂. The research highlights the role of a thin interfacial barrier layer in enhancing device stability and reducing power consumption. Seven different active layer configurations were systematically evaluated, including combinations like Al₂O₃/TiO₂ and Ta₂O₅/TiO₂, with platinum electrodes. Pulse-based electroforming was employed to achieve usable resistance ranges.

A key finding is the demonstrable improvement in multibit capability and switching stability with the Al₂O₃/TiO₂ combination, leading to a higher number of resistive states. The research developed a novel programming protocol that forgoes traditional compliance current limiting, instead opting for sequential pulsing until state stability is observed. This approach minimizes the switching energy required. The devices achieved stable multibit states within a pJ–nJ range of energy consumption.

Notably, the research achieved a new benchmark in multibit non-volatile storage, reaching a density of 5.5 bits per cell. The Al₂O₃/TiO₂ devices achieved 47 stable resistive states with minimal energy consumption, demonstrating average resistance steps of approximately 1.2 kΩ and excellent retention over several hours. The significance of these findings lies in their potential applications, particularly in neuromorphic systems and high-density storage technologies.

The engineered devices illustrate reliability and reproducibility through repeated SET/RESET cycles, maintaining clearly discernible resistive states. These attributes render the technology suitable for advanced computing applications and further solidify the viability of bilayer-based memristors for next-generation memory systems.

Future research directions should focus on optimizing the energy efficiency of multibit operations further and potentially exploring alternative metal-oxide configurations. Enhancement of multibit operation stability and scalability will likely drive the broader adoption of memristor-based memory systems in computing technologies. This paper contributes significantly to the ongoing efforts to push the boundaries of non-volatile memory technologies, particularly in achieving high-density data storage and processing capabilities using memristive systems.