NIRT: Collective Computation with Self Assembled Quantum Dots, Nanodiodes and Nanowires: A Novel Paradigm for Nanoelectronics

NIRT：使用自组装量子点、纳米二极管和纳米线进行集体计算：纳米电子学的新范式

• 批准号: 0506710
• 负责人: Supriyo Bandyopadhyay
• 金额: $ 100万
• 依托单位: Virginia Commonwealth University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0506710&HistoricalAwards=false
• 关键词: NIRT; Collective; Computation; Self; Assembled

NIRT: Collective Computation with Self Assembled Quantum Dots, Nanodiodes and Nanowires: A Novel Paradigm for NanoelectronicsAbstractThe project aims to synthesize nano-structures for cellular neural networks capable of signal processing and collective computational activity. Additionally, speed-power analysis, network abstraction tools and simulators will be developed, and efficient approaches to data input and output will be explored.The approach is to fabricate and test nanowire and quantum dot arrays using self-assembly and MBE growth. These structures are known to exhibit the desired circuit behavior. A recently observed phenomenon, whereby the negative differential resistance in the structures can be modulated with infrared excitation, is being explored in an effort to create a paradigm for optical programming.The potential impacts of this research are in revolutionizing alternate approaches to computation and signal processing, and developing a neruromorphic paradigm based on simple self assembled structures capable of ultrafast and ultra low power computation.

NIRT：利用自组装量子点、纳米二极管和纳米线的集体计算：纳米电子学的一个新范例摘要该项目旨在合成能够进行信号处理和集体计算活动的细胞神经网络的纳米结构。此外，我们将开发速度-功率分析、网络抽象工具和模拟器，并将探索有效的数据输入和输出方法。该方法是使用自组装和MBE生长来制造和测试纳米线和量子点阵列。已知这些结构表现出期望的电路行为。最近观察到的现象，即负微分电阻的结构可以调制与红外激发，正在探索在努力创建一个范式的光学programming.The这项研究的潜在影响是在革命性的替代方法来计算和信号处理，并开发一个神经形态范式的基础上简单的自组装结构能够超快和超低功耗计算。