GOALI: Ultrafast dynamics of single nanomagnets in dense arrays

abstracteccs - 0801896 h。目的：本研究的目的是研究将在磁性数据存储、存储器或生物传感器阵列等应用中发现的密集阵列中单个纳米磁体的动态响应。这项工作的方法将是使用时间分辨磁光克尔（MOKE）光谱与光学近场分辨率相结合，测量被密集排列的磁体包围的单个纳米磁体的磁化变化。预商用原型样品将由工业合作伙伴日立全球存储技术公司（HGST）制造和提供。知识优势：动态磁化响应是未来纳米磁性器件运行速度的自然限制，深入了解固有磁化动力学以及来自邻近动态变化的磁场的影响对于优化器件性能至关重要。在这里，我们建议通过(i)使用远场和近场MOKE对密集阵列中的单个纳米磁铁进行时间分辨磁化检测，以及（ii）以亚皮秒分辨率测量密集阵列中的单个金属多层纳米磁铁的动态磁性来获得这些知识。更广泛的影响：与HGST的合作将确保将这项研究的结果快速转化为商业磁存储设备，通过改变数据存储方式的范例，产生广泛的社会影响。HGST还将通过暑期实习和参与项目样本表征，为不同水平的学生提供教育机会。此外，来自代表性不足的少数民族的本科生将被招募参与研究。

AbstractECCS-0801896H. Schmidt, University of California-Santa CruzObjective: The objective of this research is to investigate the dynamic response of single nanomagnets within the type of dense arrays that will be found in applications including magnetic data storage, memory, or biosensor arrays. The approach to this effort will be to use time-resolved magneto-optic Kerr (MOKE) spectroscopy in conjunction with optical near-field resolution to measure magnetization changes of single nanomagnets surrounded by magnets in dense arrays. Pre-commercial prototype samples will be fabricated and provided by the industrial partner, Hitachi Global Storage Technologies (HGST).Intellectual merit: The dynamic magnetization response is a natural limit for the operating speed of future nanomagnetic devices, and a thorough understanding of both the intrinsic magnetization dynamics as well as the influence of dynamically changing magnetic fields from nearby neighbors is essential to optimize device performance. Here, it is proposed to gain this knowledge by (i) developing time-resolved magnetization detection of a single nanomagnet within a dense array using both far-field and near-field MOKE, and (ii) measuring dynamic magnetic properties of individual metal multilayer nanomagnets in dense arrays with sub-picosecond resolution.Broader Impact: The collaboration with HGST will ensure rapid translation of the results of this research to commercial magnetic storage devices, resulting in broad societal impact through a paradigm change in the way data are stored. HGST will also provide educational opportunities for students at different levels through summer internships and involvement in sample characterization for the project. In addition, undergraduate students from underrepresented minorities will be recruited to participate in the research.