CDI-Type I: High-Performance Simulations and Interactive Visualization for Automated Nanoscale Assembly

CDI-Type I：自动化纳米级组装的高性能模拟和交互式可视化

• 批准号: 0835572
• 负责人: Amitabh Varshney
• 金额: --
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-15 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0835572&HistoricalAwards=false
• 关键词: CDI; Type; Performance; Simulations; Interactive

Assembling nanoscale components to make functional devices remains a grand challenge despite rapid advances in imaging, measurement, and fabrication at the nanoscale. While manipulation techniques for nanocomponents are finally emerging they currently lack automation. The lack of automation seriously limits the rate at which new nanocomponent-based devices can be invented. In order to develop automated real-time planning algorithms, we need to develop a fundamental understanding of the interaction of nanocomponents with trapping fields. Understanding different ways in which components can interact with the trap requires dense sampling of the planning parameter space using millions of computationally intensive simulation runs. The proposed project will focus on (1) development of GPU-based simulation infrastructure for simulating trap and nanocomponent interactions, (2) development of algorithms for automatically constructing simplified assembly process models from simulation data, (3) development of visualization tools for enhancing the understanding of the nanoscale assembly processes, (4) identification and characterization of real-time motion planning strategies for nanoscale assembly processes, and (5) integration of the proposed the research results with education and wider dissemination.The proposed work will lead to a reliable, efficient, and automated assembly process for fabricating nanocomponent-based devices. We expect that this assembly process will enable nanotechnology researchers to explore new design possibilities in the area of nano electronics, nano photonics, and bio-inspired sensors. Automated assembly capability will also allow them to explore a large number of design options in a cost effective manner and hence accelerate discovery and invention. The proposed research will significantly reduce the need for manual assembly operations and will make nanomanipulation significantly less labor-intensive thereby facilitating the manufacturing of nanodevices in a cost-competitive manner. The proposed project will also create training and education materials in the areas of GPU-based simulations, interactive visualization at nanoscale, automated model construction, and real-time motion planning.

尽管在纳米级的成像，测量和制造方面取得了迅速的进步，但组装纳米级组件以制造功能设备仍然是一个巨大的挑战。尽管纳米组件的操纵技术终于出现了，但目前缺乏自动化。缺乏自动化严重限制了可以发明新的基于纳米组分的设备的速度。为了开发自动化的实时计划算法，我们需要对纳米组件与捕获字段的相互作用进行基本了解。了解不同的方式与陷阱相互作用的不同方式需要使用数百万个计算密集型模拟运行对计划参数空间进行密集的采样。拟议的项目将重点介绍（1）开发基于GPU的模拟基础架构，用于模拟陷阱和纳米组分相互作用，（2）开发用于自动从模拟数据中构建简化的组装过程模型的算法的开发，（3）用于开发可视化工具，以增强Nanoscale进程的理解，以增强NANOSCELABLY INSTICES的理解，（4）识别的策略，（4）实时的策略和特征，（4）实时的策略和特征，（4）拟议的研究结果与教育和更广泛的传播相结合。拟议的工作将导致可靠，高效且自动化的组装过程，用于制造基于纳米组分的设备。我们希望这种组装过程将使纳米技术研究人员能够探索纳米电子，纳米光子学和生物启发的传感器领域的新设计可能性。自动组装功能还将使他们能够以具有成本效益的方式探索大量的设计选项，从而加速发现和发明。拟议的研究将大大减少对手动组装操作的需求，并使纳米流行量显着降低劳动力密集型，从而以成本竞争的方式促进纳米版的制造。拟议的项目还将在基于GPU的模拟，纳米级的交互式可视化，自动模型构建以及实时运动计划的领域中创建培训和教育材料。