论文标题
3D互连的磁性纳米线网络作为潜在的集成多态回忆录
3D Interconnected Magnetic Nanowire Networks as Potential Integrated Multistate Memristors
论文作者
论文摘要
互连的磁性纳米线（NW）网络为3维（3D）信息存储和集成神经形态计算提供了有前途的平台。在这里，我们报告了由磁场和电流驱动的互连CO纳米线网络中磁状态的离散传播，以不同的磁磁特征（MR）特征表现出来。在这些网络中，当仅测量了几个互连的NW时，观察到了多个MR KINK和局部最小值，其中包括在降落场扫描期间正面磁场的显着最小值。微磁模拟表明，这种不寻常的特征是由于域壁（DW）固定在NW交叉点上，这通过离轴电子全息成像证实。在许多相交的复杂网络中，观察到由相互连接分离的纳米线切片的顺序切换以及随机特征。 DWS的固定/下降可以通过驱动电流密度进一步控制。这些结果说明了像集成的多态候选人等相互联系的网络的希望。
Interconnected magnetic nanowire (NW) networks offer a promising platform for 3-dimensional (3D) information storage and integrated neuromorphic computing. Here we report discrete propagation of magnetic states in interconnected Co nanowire networks driven by magnetic field and current, manifested in distinct magnetoresistance (MR) features. In these networks, when only a few interconnected NWs were measured, multiple MR kinks and local minima were observed, including a significant minimum at a positive field during the descending field sweep. Micromagnetic simulations showed that this unusual feature was due to domain wall (DW) pinning at the NW intersections, which was confirmed by off-axis electron holography imaging. In a complex network with many intersections, sequential switching of nanowire sections separated by interconnects was observed, along with stochastic characteristics. The pinning/depinning of the DWs can be further controlled by the driving current density. These results illustrate the promise of such interconnected networks as integrated multistate memristors.
