Magnetic writing in nanostructured arrays

磁性功能组的主要研究方向之一是纳米结构材料和器件的磁性。我们对磁性纳米结构阵列感兴趣，这种阵列通常被称为人工自旋冰。我们最近开发了一种方法，使用磁力显微镜将我们选择的任何磁性图案写入这些磁性阵列。1，2该项目的目的是制造人工自旋冰结构，并使用写入技术探索两种新类型计算的可能性。其中之一，称为神经网络，是基于整个网络的集体响应的大规模并行计算。另一种被称为磁振子3，依赖于操纵结构内的自旋波（磁振子）。铁磁共振（FMR）是一种用于探测铁磁材料中自旋波和自旋动力学的标准工具。铁磁电阻是由铁磁材料在外部磁场中的磁化进动引起的。[1]测试和训练“神经网络”对不同初始配置的响应。[2]用不同的阵列几何形状和初始配置测试FMR，并优化磁振子。1J.C. Gartside，D.M. Arroo，D.M.烧伤，V.L. Bemmer，A. Moskalenko，L.F.科恩和W.R.通过拓扑缺陷驱动的磁写入实现可果美冰基态和热不可达态。Nature Nanotechnology：Accepted for publication（2017）.（预印本见https：//arxiv.org/abs/1704.07439）2J.C。Gartside，D.M.烧伤，L.F.科恩和W.R.布兰福德，一种在纳米结构中注入和操纵磁荷态的新方法。科学报告。6：32864（2016）. Grundler，可重构的磁振子加热了. Nature Physics. 11：438-441（2015）。

One of the main research interests of the functional magnetism group is the magnetic properties of nanostructured materials and devices. We have an interest in magnetic nanostructured arrays that are usually called Artificial Spin Ice. We have recently developed a method of writing any magnetic pattern we choose into these magnetic arrays using a magnetic force microscope.1,2 The aim of this project will be to fabricate artificial spin Ice structures and to use the writing technique to explore the possibilities for two new types of computation. One of these, known as a neural network, is a massively parallel computation based on the collective response of the whole network. The other, known as magnonics3, relies on manipulating spin waves (magnons) within the structures. Ferromagnetic resonance, or FMR, is a standard tool used for probing spin waves and spin dynamics in ferromagnetic materials. FMR arises from the precessional motion of the magnetization of a ferromagnetic material in an external magnetic field.[1] Testing and training the 'neural network' response from different starting configurations.[2] Testing the FMR with different array geometry and starting configuration and optimising for magnonics. 1J.C. Gartside, D.M. Arroo, D.M. Burn, V.L. Bemmer, A. Moskalenko, L.F. Cohen and W.R. Branford, Realising the kagome ice ground state and thermally inaccessible states via topological defect-driven magnetic writing. Nature Nanotechnology: Accepted for publication (2017). (Preprint at https://arxiv.org/abs/1704.07439)2J.C. Gartside, D.M. Burn, L.F. Cohen and W.R. Branford, A novel method for the injection and manipulation of magnetic charge states in nanostructures. Scientific Reports. 6: 32864 (2016).3D. Grundler, Reconfigurable magnonics heats up. Nature Physics. 11: 438-441 (2015).