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

组装纳米级组件以制造功能器件仍然是一个巨大的挑战，尽管在纳米级成像，测量和制造方面取得了快速进展。虽然纳米元件的操作技术终于出现了，但它们目前缺乏自动化。自动化的缺乏严重限制了新的纳米器件的发明速度。为了开发自动化的实时规划算法，我们需要对纳米元件与捕获场的相互作用有一个基本的了解。了解组件与陷阱相互作用的不同方式需要使用数百万次计算密集型模拟运行对规划参数空间进行密集采样。拟议项目将侧重于（1）开发基于GPU的模拟基础设施，用于模拟陷阱和纳米组件的相互作用，（2）开发算法，用于从模拟数据自动构建简化的组装过程模型，（3）开发可视化工具，用于增强对纳米组装过程的理解，（4）识别和表征纳米级装配过程的实时运动规划策略，以及（5）将拟议的研究成果与教育和更广泛的传播相结合。拟议的工作将导致可靠的，用于制造基于纳米组件的器件的高效且自动化的组装工艺。我们希望这种组装过程将使纳米技术研究人员能够在纳米电子学，纳米光子学和生物启发传感器领域探索新的设计可能性。自动化组装能力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。拟议的研究将显着减少对手动组装操作的需求，并将使纳米操纵显着减少劳动密集型，从而促进以具有成本竞争力的方式制造纳米器件。拟议的项目还将在基于GPU的模拟、纳米级交互式可视化、自动模型构建和实时运动规划等领域创建培训和教育材料。

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.