Design and study of self-assembling QCA circuits

自组装QCA电路的设计与研究

• 批准号: 0541324
• 负责人: Michael Niemier
• 金额: $ 30万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0541324&HistoricalAwards=false
• 关键词: Design; study; self; assembling; QCA

ABSTRACTCCF-0541324 PI: Niemier, Michael T. and Liebermann, MaryaInstitution: University of Notre Dame Title: Design and study of self-assembling QCA circuits Molecular Quantum-dot Cellular Automata (QCA) is an end-of-roadmap alternative to silicon-based computation. Logical operations and data movement are accomplished via Coulomb interactions between QCA cells that have bistable charge configurations. This basic device-device interaction can allow for the computation of any Boolean logic function. Molecular QCA systems are expected to operate at room temperature, could potentially offer densities and speeds that are at least two orders of magnitude beyond what end-of-the-curve CMOS can provide, and are expected to dissipate very little power. Tools exist which allow circuit designs to be directly translated into QCA cell layouts. However, there is currently no manufacturing process that can position QCA molecules to form QCA circuits with the necessary sub-nm precision. This proposal attacks the positioning problem from both an experimental and a design perspective. The work focuses on the design of computationally interesting QCA systems (i.e. logic that would facilitate tasks like image processing) that might actually be built using a process of self-assembly and guided assembly. The work will develop processes for self-assembly in solution of mesoscale (1-100 nm) circuitboards (DNA structures), to which molecular QCA cells or other components would attach, and use a new process for guided self-assembly of DNA circuitboards on lithographic features on silicon. The systems target, data convolution, can be accomplished with systolic architectures that map well to QCAs device architecture, and the resulting molecular circuitry could eventually provide enhanced data processing capabilities for CMOS chips. There will be a unique interplay between physical science and computer science with work in design influencing what experiments are actually conducted. Closing the feedback loop, experimental science will refine work in design. The net result should be accelerated progress toward realizable systems.

摘要CCF-0541324主要研究者：Niemier，Michael T. 和Liebermann，MaryaInstitution：University of Notre Dame Title：Design and study of self-assembled QCA circuits 分子量子点元胞自动机（QCA）是硅基计算的最终替代路线图。逻辑操作和数据移动是通过QCA单元之间的库仑相互作用，具有双电荷配置。这种基本的设备-设备交互可以允许任何布尔逻辑函数的计算。分子QCA系统预计将在室温下运行，可能提供的密度和速度至少比曲线末端CMOS所能提供的高出两个数量级，并且预计消耗的功率非常小。存在允许电路设计直接转换成QCA单元布局的工具。然而，目前还没有制造工艺可以定位QCA分子以形成具有必要的亚纳米精度的QCA电路。该建议从实验和设计的角度来解决定位问题。这项工作的重点是设计计算上有趣的QCA系统（即逻辑，将促进图像处理等任务），实际上可能是使用自组装和引导组装的过程。这项工作将开发在介观尺度（1-100 nm）电路板（DNA结构）溶液中自组装的过程，分子QCA细胞或其他组件将附着在其上，并使用一种新的过程在硅上的光刻特征上引导DNA电路板自组装。 该系统的目标，数据卷积，可以完成与脉动架构，以及映射到QCA器件架构，并最终产生的分子电路可以提供增强的数据处理能力的CMOS芯片。物理科学和计算机科学之间将有一种独特的相互作用，设计工作会影响实际进行的实验。 关闭反馈回路，实验科学将完善设计工作。 最终的结果应该是加速实现可实现的系统。