Hybrid spintronics-straintronic nanomagnetic logic with two-state elliptical and four-state concave magnetostrictive nanomagnets

N. D’Souza, M. Salehi-Fashami, Supriyo Bandyopadhyay, J. Atulasimha
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引用次数: 3

Abstract

Recently, nanomagnetic logic has emerged as a promising alternative to transistor based logic because it offers both non-volatility and energy-efficiency. In particular, if the switching of the nanomagnets employs “straintronics” [1], whereby the magnetization of a multiferroic magnet is switched with a tiny voltage generating strain in a magnetostrictive-piezoelectric composite, the energy dissipated per bit flip can be reduced to a few hundred kT at room temperature. We had shown, in prior work, that a multiferroic nanomagnet with biaxial magnetocrystalline anisotropy has four stable magnetization orientations that can encode four states (Fig. 1a). Besides doubling the logic density (four-state versus two-state) for logic applications [2, 3], these four-state nanomagnets can be exploited for higher order applications such as image reconstruction and recognition in the presence of noise, associative memory and neuromorphic computing [4].
具有两态椭圆和四态凹磁致伸缩纳米磁体的混合自旋电子-应变电子纳米磁逻辑
最近,纳米磁逻辑已经成为基于晶体管的逻辑的一个有前途的替代品,因为它提供了非易失性和能源效率。特别是,如果纳米磁体的开关采用“应变电子学”[1],即在磁致伸缩-压电复合材料中,通过微小的电压产生应变来切换多铁性磁体的磁化强度,则在室温下,每比特翻转耗散的能量可以降低到几百kT。在之前的工作中,我们已经证明,具有双轴磁晶各向异性的多铁性纳米磁体具有四个稳定的磁化方向,可以编码四种状态(图1a)。除了使逻辑应用的逻辑密度(四态与两态)翻倍[2,3]外,这些四态纳米磁体还可用于高阶应用,如存在噪声的图像重建和识别、联想记忆和神经形态计算[4]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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