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

NIRT：自组装量子点、纳米二极管和纳米线的集体计算：纳米电子学的新范式该项目旨在为细胞神经网络合成能够处理信号和集体计算活动的纳米结构。此外，还将开发速度-功率分析、网络抽象工具和模拟器，探索有效的数据输入和输出方法。方法是使用自组装和分子束外延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所需的电路行为。最近观察到的一种现象，即结构中的负微分电阻可以通过红外激励进行调制，以努力创建一种用于光学编程的范例。这项研究的潜在影响是革命性地替代计算和信号处理方法，并开发基于能够进行超快和超低功率计算的简单自组装结构的神经形态范例。

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.