NIRT: Nanophotonics for Optical Delay Engineering (NODE)

来自加州大学圣地亚哥分校（UCSD）的多学科团队，专门研究纳米光子学，纳米光学，光电子学，材料科学和材料加工领域，正在合作开发集成纳米材料，器件和系统，特别关注光延迟工程（NODE）的纳米光子学。该项目的目的是展示在波导配置中使用纳米级光子材料和器件的多级光延迟架构的芯片级实现，利用偏振自由度。最大的推动力将是研究相互靠近的纳米光子光学元件中的共振现象，并演示它们集成到纳米级器件和系统架构中，实现可编程的光延迟，这对于许多应用至关重要，包括大型光数据路由系统的光缓冲、真正的时间延迟相控阵和一般数字光信号处理架构。在纳米光子材料、器件和系统的方法论、设计、制造和表征方面的研究工作将有助于纳米光子学领域的学生和研究人员，促进对纳米器件之间近场共振和非共振相互作用的基本理解，并使其与新功能有效集成。我们还将与加州大学圣地亚哥分校的普鲁斯学校建立创新教育和推广项目，为来自贫困家庭的6-12年级学生设计。

A multidisciplinary team from the University of California, San Diego (UCSD), specializing in the fields of nanophotonics, nanooptics, optoelectronics, and material science and material processing are collaborating in developing Integrated Nanoscale Materials, Devices and Systems with special focus on Nanophotonics for Optical Delay Engineering (NODE). The aim of the project is to demonstrate chip-scale realization of multistage optical delay architectures using nanoscale photonic materials and devices in a waveguide configuration, taking advantage of the polarization degree of freedom. The largest thrust will be on investigation of resonant phenomena in nanophotonic optical components placed in proximity to each other and demonstration of their integration into Nanoscale Devices-and-System Architectures realizing programmable optical delays which are crucial for numerous applications including optical buffering for large optical data routing systems, true time delay phased arrays, and general digital optical signal processing architectures. Research efforts in methodology, design, fabrication and characterization of nanophotonic materials, devices and systems will be useful for students and researchers in the fields of nanophotonics, advancing the fundamental understanding of the near field resonant and nonresonant interactions between nanoscale devices, and enabling their effective integration with novel functionalities. We will also establish innovative education and outreach projects with the UCSD's Preuss School, designed for students in 6-12 grade coming from disadvantaged households.