Multi-level cell Spin Transfer Torque MRAM based on stochastic switching

Yue Zhang, Weisheng Zhao, Jacques-Olivier Klein, W. Kang, D. Querlioz, C. Chappert, D. Ravelosona
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引用次数: 18

Abstract

Spin Transfer Torque Magnetic Random Access Memory (STT-MRAM) provides a promising pathway for the next generation of non-volatile memory and logic chips. The perpendicular magnetic anisotropy (PMA) in CoFeB/MgO/CoFeB magnetic tunnel junction (MTJ) nanopillar provides high thermal stability and low critical current. However, the STT switching mechanism of MTJ has been revealed intrinsically stochastic, which results from the unavoidable thermal fluctuations of magnetization. This phenomenon affects deeply the reliability of hybrid CMOS/MTJ interface circuits and drives important power overhead. In this paper, we present a multilevel cell (MLC) STT-MRAM benefiting from the stochastic behaviors. It allows not only higher storage density, but also reduces the programming power and delay. This new cell can be also used as electrical synapse to build up neuromorphic computing systems or other biological networks. Monte-Carlo statistical simulations based on a 40 nm technology node have been carried out to validate its functionality and demonstrate its performance.
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基于随机开关的多级单元自旋传递扭矩MRAM
自旋转移扭矩磁随机存取存储器(STT-MRAM)为下一代非易失性存储器和逻辑芯片提供了一条有前途的途径。CoFeB/MgO/CoFeB磁性隧道结(MTJ)纳米柱的垂直磁各向异性(PMA)提供了高的热稳定性和低的临界电流。然而,MTJ的STT开关机制本质上是随机的,这是由不可避免的磁化热波动造成的。这种现象严重影响了混合CMOS/MTJ接口电路的可靠性,并带来了重要的功耗开销。本文提出了一种利用随机行为的多层单元(MLC) STT-MRAM。它不仅允许更高的存储密度,而且还降低了编程功率和延迟。这种新细胞也可以用作电突触,以建立神经形态计算系统或其他生物网络。基于40纳米技术节点的蒙特卡洛统计仿真验证了其功能并展示了其性能。
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