论文标题
新型STT/SHE MTJ紧凑型模型与NGSpice兼容
Novel STT/SHE MTJ Compact Model Compatible with NGSPICE
论文作者
论文摘要
确保高性能在满足电力预算的同时，随着世界正朝着下一代计算而发展，这是一项艰巨的任务。研究人员和设计师正在寻找有效计算的新解决方案。 SpinTronics设备被视为应对CMOS降低降低的不断升级的一种有希望的方法，明确地，磁性隧道连接器（MTJ）设备一直是研究的焦点。从上述角度来看，它们具有一些基本特征，例如不易挥发性，低功率和可扩展性。鉴于MTJ设备在下一代计算中的重要性，本文为混合MTJ/CMOS电路仿真提供了基于物理的STT/SHE MTJ模型，可准确模拟MTJ的设备物理和随机热噪声行为。拥有一个与开源NGSpice仿真框架兼容的MTJ紧凑型模型至关重要，因为先前开发的模型依赖于商业EDA工具。此外，对于开发具有随机过程波动的混合电路，最终纳入了与模拟器无关的蒙特卡洛模拟能力，使用PCSA读/写操作和Neuron MTJ实现了STT/SHE-MTJ模型。
Ensuring high performance, while meeting the power budget is a challenging task as the world is moving towards next-generation computing. Researchers and designers are in search of new solutions for efficient computation. Spintronics devices have been viewed as a promising way to deal with the escalating difficulties of CMOS downscaling, explicitly, the Magnetic Tunnel Junction (MTJ) devices have been the focal point of investigation. They possess some essential features from the aforementioned perspective such as nonvolatility, low power, and scalability. In light of the significance of MTJ devices in next-generation computing, this paper presents a physics-based STT/SHE MTJ model for hybrid MTJ/CMOS circuit simulation, that accurately emulates the device physics and stochastic thermal noise behavior of the MTJ. It is vital to have an MTJ compact model which is compatible with the open-source NGSPICE simulation framework since previously developed models are reliant on commercial EDA tools. In addition, for developing hybrid circuits with random process fluctuations, a simulator-independent Monte-Carlo simulation capability has been incorporated Finally, the STT/SHE-MTJ model is demonstrated using PCSA read/write operation and the implementation of neuron MTJ.
