EMT/Nano: Energy Minimization Computing using Field Coupled Nanomagnets--Modeling and Fabrication

EMT/Nano：使用场耦合纳米磁体的能量最小化计算——建模和制造

• 批准号: 0829838
• 负责人: Sudeep Sarkar
• 金额: $ 25万
• 依托单位: University of South Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0829838&HistoricalAwards=false
• 关键词: EMT; Nano; Energy; Minimization; Computing

0829838 - EMT/Nano: Energy Minimization Computing using Field Coupled Nanomagnets--Modeling and FabricationSudeep Sarkar, Sanjukta BhanjaField coupled computing is a radically different paradigm where electrical, magnetic or spin coupling among nano-devices are utilized for computation. By far, most advances has been in the nano-fabrication of nanomagnets, mostly driven by the need for denser memory and patterned magnetic storage media. This research will open up unconventional front in computing. Unlike other current works in nanocomputing that seeks to replicate traditional computing involving Boolean logic, this research is using magnetic field-based computing (MFC) to solve optimization problems in computer vision. In the long run, this research will help design computers that will be able to solve hard problems in automated object recognition in a computationally efficient manner.The ground state of a nanomagnet collection minimizes the Hamiltonian that is governed by the pairwise dipolar interactions between the nanomagnets. The specific focus of this research is to harnesses this energy minimization aspect to solve quadratic energy minimization problems in computer vision. The investigators are developing computational method, based on multi-dimensional scaling, to decide upon the spatial arrangement of nanomagnets that matches a particular quadratic minimization problem. Each variable is represented by a nanomagnet and the distances between them are such that the dipolar interactions match the corresponding pair wise energy term in the optimization problem. The nanomagnets that participate in a specific computation are to be selected from a field of regularly placed nanomagnets. Some of the scientific questions being considered are. What would be the optimal geometry and appropriate material for these nanomagnets? How would one select the nanomagnets from an array of uniformly spaced nanomagnets to involve in computation? Can we demonstrate these functions by fabricating circuits?

0829838 - EMT/Nano：使用场耦合纳米磁体的能量最小化计算 - 建模和制造Sudeep Sarkar，Sanjukta Bhanja场耦合计算是一种完全不同的范例，其中利用纳米设备之间的电、磁或自旋耦合进行计算。 到目前为止，大多数进展都集中在纳米磁体的纳米制造上，这主要是由于对更密集的内存和图案化磁存储介质的需求所驱动。这项研究将开辟计算领域的非常规前沿。与当前纳米计算领域寻求复制涉及布尔逻辑的传统计算的其他工作不同，这项研究使用基于磁场的计算（MFC）来解决计算机视觉中的优化问题。从长远来看，这项研究将有助于设计计算机，使其能够以计算有效的方式解决自动物体识别中的难题。纳米磁体集合的基态最小化了由纳米磁体之间的成对偶极相互作用控制的哈密顿量。这项研究的具体重点是利用能量最小化方面来解决计算机视觉中的二次能量最小化问题。 研究人员正在开发基于多维尺度的计算方法，以确定与特定二次最小化问题相匹配的纳米磁体的空间排列。每个变量都由纳米磁体表示，它们之间的距离使得偶极相互作用与优化问题中相应的成对能量项相匹配。参与特定计算的纳米磁体将从规则放置的纳米磁体中选择。正在考虑的一些科学问题是。 这些纳米磁体的最佳几何形状和合适的材料是什么？ 如何从一组均匀分布的纳米磁体中选择纳米磁体来参与计算？我们可以通过制作电路来演示这些功能吗？