Zhang Shilei, Baker Alexander A, Komineas Stavros, Hesjedal Thorsten
Department of Physics, Clarendon Laboratory, University of Oxford, Oxford, OX1 3PU, United Kingdom.
Department of Mathematics and Applied Mathematics, University of Crete, 71409 Heraklion, Crete, Greece.
Sci Rep. 2015 Oct 28;5:15773. doi: 10.1038/srep15773.
Non-uniform magnetic domains with non-trivial topology, such as vortices and skyrmions, are proposed as superior state variables for nonvolatile information storage. So far, the possibility of logic operations using topological objects has not been considered. Here, we demonstrate numerically that the topology of the system plays a significant role for its dynamics, using the example of vortex-antivortex pairs in a planar ferromagnetic film. Utilising the dynamical properties and geometrical confinement, direct logic communication between the topological memory carriers is realised. This way, no additional magnetic-to-electrical conversion is required. More importantly, the information carriers can spontaneously travel up to ~300 nm, for which no spin-polarised current is required. The derived logic scheme enables topological spintronics, which can be integrated into large-scale memory and logic networks capable of complex computations.
具有非平凡拓扑结构的非均匀磁畴，如涡旋和斯格明子，被提议作为非易失性信息存储的优越状态变量。到目前为止，尚未考虑使用拓扑对象进行逻辑运算的可能性。在这里，我们以平面铁磁薄膜中的涡旋-反涡旋对为例，通过数值模拟证明系统的拓扑结构对其动力学起着重要作用。利用动力学特性和几何限制，实现了拓扑记忆载体之间的直接逻辑通信。通过这种方式，无需额外的磁电转换。更重要的是，信息载体可以自发地移动高达约300纳米，为此不需要自旋极化电流。所推导的逻辑方案实现了拓扑自旋电子学，它可以集成到能够进行复杂计算的大规模存储器和逻辑网络中。
