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Spin-transfer torque magnetic random access memory (STT-MRAM) has emerged as a promising candidate for the next-generation high-speed, low-power, and scalable nonvolatile memory technology. Its advantageous features have attracted much attention in the area of research and development, and a number of preindustrial prototypes and small-scale products have been demonstrated. One expects to widely commercialize it in the next few years. One of the critical issues that blocks STT-MRAM’s wide commercialization is its low sensing reliability due to the relatively small tunnel magnetoresistance ratio of the magnetic tunnel junction (MTJ) and the continuously increasing process variations, especially as technology process scales down to the deep submicrometer nodes (e.g., 40 nm). In this paper, we present a variation-tolerant high-reliability sensing circuit for deep submicrometer STT-MRAM. This circuit, using triple-stage sensing and charge transfer amplification, is able to tolerate significantly the process variations and improve greatly the sensing margin by sacrificing some sensing time. Using a CMOS 40 nm design kit and a precise STT-MTJ compact model, transient and Monte Carlo simulations have been carried out to demonstrate its sensing performance. [ABSTRACT FROM AUTHOR]

Spin transfer torque-based magnetic random access memory (STT-MRAM) is considered as one of the most promising candidates for the next generation of nonvolatile memories; however, its storage density and reliability are currently uncompetitive compared with other nonvolatile memories (e.g., NAND flash). In this paper, a dual-functional memory cell structure, named DFSTT-MRAM, is proposed by stacking multiple magnetic tunnel junctions (MTJs) on top of the CMOS access transistor. In such a structure, the cell can be dynamically configured between two possible functional modes, i.e., high-reliability mode (HR-mode) and multilevel cell mode (MLC-mode), based on the data requirements of the addressed applications. The DFSTT-MRAM cell was electrically modeled based on the perpendicular magnetic anisotropy CoFeB/MgO/CoFeB MTJ integrating the STT stochastic switching behaviors. Transient and Monte Carlo simulations were then performed to evaluate its MLC functionality and reliability performance. Our evaluation results show that the DFSTT-MRAM cell can indeed realize MLC capability providing proper write/read control at the MLC-mode and enhance the intrinsic cell reliability by several orders of magnitude when operating at the HR-mode. This cell structure provides a flexible memory cell design for future advanced applications, such as high-density nonvolatile memory and neuromorphic circuits. [ABSTRACT FROM AUTHOR]

Highlights: [•] We analyse and model the reliability issue in STT-MRAM. [•] We present a low-cost OLSC circuit to improve STT-MRAM reliability. [•] Built-in-form implementation using STT-MRAM-based logic acts as an inner code. [•] Its simple codec provides very low area and high speed. [•] Modular codec structure enables adaptive error correction capability. [Copyright &y& Elsevier]

Magnetic tunnel junctions (MTJ) are considered as one of the most promising candidates for the next generation of nonvolatile memories and programmable logic chips. Spin transfer torque (STT) in CoFeB/MgO/CoFeB MTJs with perpendicular magnetic anisotropy (PMA) exhibits noticeable performance enhancements compared to that with In-plane magnetic anisotropy, particularly in terms of thermal stability, critical current for switching, access speed and power consumption. However, the STT switching of MTJ has been revealed stochastic, which results from unavoidable thermal fluctuations of magnetization. This leads to the occurrence of write errors which deeply affects the reliability of hybrid CMOS/MTJ circuits. In this paper, we present the first spice-compact model of CoFeB/MgO/CoFeB structure PMA-MTJ integrating STT stochastic behaviors. Depending on the relative magnitude between the switching current (I) and the critical current (Ico), the STT stochastic behaviors of this PMA-MTJ can be categorized into two regions: Sun model (I>Ico) and Neel-Brown model (I<0.8Ico). The Monte-Carlo simulations for single cell and hybrid CMOS/MTJ circuits show the stochastic behaviors in both writing and sensing operations. This model can be very useful for investigating the reliability issues during the design and simulation before process fabrication. [ABSTRACT FROM AUTHOR]

Spin transfer torque (STT) is one of the most promising switching approaches for magnetic tunnel junction (MTJ) nanopillars to build up innovative nonvolatile memory and logic circuits. It presents low critical current (e.g., < 100\ \muA at 65 nm), simple switching scheme, and fast-speed; however, it suffers from a number of reliability issues like stochastic switching effects, process voltage temperature (PVT) variations, and erroneous reading etc. The mainstream solution is to enlarge the write pulse duration to reduce error rate, which sacrifices the speed and low power advantages. In this paper, we present a new switching circuit for STT memory and logic, allowing “error-free” as the switching operation becomes deterministic benefiting from the self-enabled mechanism. The switching power efficiency can be also improved thanks to a shorter switching duration. By using an accuracy spice model of STT-MTJ and CMOS 65 nm design-kit, mixed simulations have been performed to demonstrate its high-reliable write/read operations and evaluate its potential area, power, and speed performance. [ABSTRACT FROM PUBLISHER]