Computational Nano-Engineering for Patterned Magnetic Nanostructures

图案化磁性纳米结构的计算纳米工程

• 批准号: 0085569
• 负责人: Huajian Gao
• 金额: $ 168万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2005-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0085569&HistoricalAwards=false
• 关键词: Computational; Nano; Engineering; Patterned; Magnetic

0085569GaoComputational nano-engineering is an emerging field of research aimed at developing nanoscale modeling and simulation methods to enable and accelerate the design and development of functional nanometer-scale devices and systems. Just as microfabrication has led to microelectronics revolution in the 20th century, nano-precision engineering will be a key to the nanotechnology revolution in the 21st century. A major challenge in this technology is to fabricate patterned nanostructures. The objective of the proposed research is to develop multiscale modeling and simulation methods for nanopatterning. As a prototype example with comprehensive industrial impact, we will focus our efforts on nanopatterning of magnetic nanostructures for high-density information storage device applications where the control of grain size distribution is becoming increasingly important, and the drive for decreased media noise and increased storage density is pushing the grain size below the 10 nm regime.We propose a systematic study of the mechanisms that control the grain size and grain size distribution in magnetic thin films. We will use continuum theories to model the length scales determined by competing mechanisms of epitaxy, surface stress, surface energy, strain energy, compositional free energy and quantum energy. We will develop kinetic Monte Carlo and quantum simulations to simulate nanoscale self-organization for creating magnetic thin film media with ultra-fine grain sizes and ultra-narrow grain size distributions. The simulation tools will allow us to quantitatively investigate nanofabrication processes, and in particular, to predict the grain size and grain size distribution in magnetic nanostructures.The proposed project will have immediate impact on the magnetic information storage nanotechnology by providing industry with the first theoretical tool to analyze nanofabrication processes based on the state-of-the-art knowledge of nanoscale modeling and simulation. This project will allow engineers to reduce or eliminate costly and slow processes of developing new nanostructured materials. Through the proposed research, we will develop the framework of computational nanopatterning technology which will benefit the whole spectrum of current nanotechnology challenges. This project will lead to better understanding of the basic mechanisms that control the structuring of materials at the nanometer scale. The Kinetic Monte-Carlo simulation and quantum simulation methods developed under this project will have far-reaching significance for the design and manufacturing of nanodevices.

0085569Gao计算纳米工程是一个新兴的研究领域，旨在开发纳米级建模和仿真方法，以实现和加速功能纳米级器件和系统的设计和开发。 正如微细加工导致了20世纪的微电子革命一样，纳米精密工程将是21世纪纳米技术革命的关键。 该技术的一个主要挑战是制造图案化的纳米结构。 该研究的目的是开发多尺度建模和模拟方法的纳米图案。 作为一个具有广泛工业影响的原型例子，我们将把我们的努力集中在磁性纳米结构的纳米图案化上，用于高密度信息存储设备应用，其中粒度分布的控制变得越来越重要，为了降低介质噪声和提高存储密度，将晶粒尺寸推到10 nm以下。我们提出了一个系统的研究机制，控制晶粒尺寸和晶粒尺寸分布。 我们将使用连续介质理论来模拟由外延、表面应力、表面能、应变能、成分自由能和量子能的竞争机制决定的长度尺度。 我们将开发动力学蒙特卡罗和量子模拟来模拟纳米级自组织，以创建具有超细晶粒尺寸和超窄晶粒尺寸分布的磁性薄膜介质。 该模拟工具将使我们能够定量研究纳米加工过程，特别是预测磁性纳米结构中的晶粒尺寸和晶粒尺寸分布，该项目将为磁性信息存储纳米技术提供第一个基于纳米尺度建模和模拟的理论工具来分析纳米加工过程。 该项目将使工程师能够减少或消除开发新纳米结构材料的昂贵和缓慢的过程。 通过拟议的研究，我们将开发计算纳米图案化技术的框架，这将有利于当前纳米技术挑战的整个频谱。 该项目将导致更好地了解控制纳米尺度材料结构的基本机制。 本项目发展的动力学蒙特-卡罗模拟和量子模拟方法将对纳米器件的设计和制造具有深远的意义。