SHF: SMALL: A Novel Algorithm for Automated Synthesis of Passive, Causal, and Stable Models for Optical Interconnects

SHF：SMALL：一种自动合成光互连无源、因果和稳定模型的新算法

基本信息

批准号：
1816542
负责人：
Ata Zadehgol
金额：
$ 25万
依托单位：
Regents of the University of Idaho
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-10-01 至 2022-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1816542&HistoricalAwards=false
关键词：
SHF SMALL Novel Algorithm Automated

项目摘要

With the explosive growth of Big Data and Internet of Things, and the ever-growing demand for high-performance computing, mobility, security, and high-fidelity experiences, there is an increasing need for high-bandwidth and low-loss interconnect technologies that enable efficient data transfer across the chip. The optical fiber and its significant capacity for high-bandwidth data transfer are well-known in the telecommunications industry, and widely exploited in their long-distance network of interconnects. Scaling down optical interconnects to fit in nano-scale silicon chips would clearly be advantageous for achieving high-bandwidth data transfer on-chip -- however, a major hurdle is the dearth of accurate and efficient computable stochastic electromagnetic models for simulation of optical interconnect structures comprised of multiple tightly-coupled nano-scale silicon-on-insulator (SOI) wave-guides that carry information signals (i.e., TeraHertz electromagnetic waves) across on-chip transmitters and receivers. The overall goal of this proposal is to develop algorithms for a software tool to perform the design, analysis, and optimization of 3-dimensional (3-D) nano-scale optical interconnects based on SOI wave-guides exhibiting random surface roughness. The overall educational components of this project are to leverage the developed models and software to: (1) develop new graduate courses, (2) develop interactive learning objects and lab-based activities for undergraduate courses, and (3) stimulate undergraduate students' interest in science, and recruit and mentor diverse groups of students including women and minority groups. The project team will develop the Optical Interconnect Designer Tool (OIDT) software, of which the input is comprised of: (1) the specified 3-D geometry representing the physical description of the multi-port optical interconnect system, (2) the random distribution for surface roughness of SOI wave-guide, and (3) the wave-guide material's electrical properties. The OIDT will autonomously synthesize two types of electrical models: (1) network scattering parameters for design optimization of the interconnect, in the frequency-domain, and (2) stable, passive, and causal SPICE equivalent circuit models for timing analysis and signal/power integrity analysis of the passive interconnect, integrated with active non-linear drivers and components, in the time-domain. The proposed Python-based software package may be used stand-alone, or integrated into existing computer aided design (CAD) tools and design-flows to facilitate design automation, and research and development of advanced microelectronics for a variety of applications including computing, communications, energy, security, sensing, health, etc. The numerical program will be hosted on GitHub as an open-source project, to facilitate and promote (inter)national optical device research. The education component expands public's scientific literacy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

随着大数据和物联网的爆炸式增长，以及对高性能计算、移动性、安全性和高保真体验的需求不断增长，对高带宽和低损耗互连技术的需求日益增长实现跨芯片的高效数据传输。光纤及其高带宽数据传输的巨大能力在电信行业中众所周知，并在长距离互连网络中得到广泛应用。缩小光学互连以适应纳米级硅芯片显然有利于实现片上高带宽数据传输，然而，一个主要障碍是缺乏用于光学互连结构模拟的准确且高效的可计算随机电磁模型由多个紧密耦合的纳米级绝缘体上硅 (SOI) 波导组成，这些波导在片上发射器和接收器上传输信息信号（即太赫兹电磁波）。该提案的总体目标是开发软件工具的算法，以执行基于具有随机表面粗糙度的 SOI 波导的 3 维 (3-D) 纳米级光学互连的设计、分析和优化。该项目的总体教育组成部分是利用开发的模型和软件来：（1）开发新的研究生课程，（2）为本科生课程开发交互式学习对象和基于实验室的活动，以及（3）激发本科生的兴趣在科学领域，招募和指导不同群体的学生，包括妇女和少数群体。项目团队将开发光互连设计工具 (OIDT) 软件，其输入包括：(1) 代表多端口光互连系统物理描述的指定 3-D 几何结构，(2) 随机SOI波导的表面粗糙度分布，以及(3)波导材料的电性能。 OIDT 将自动合成两种类型的电气模型：(1) 用于频域互连设计优化的网络散射参数，以及 (2) 用于时序分析和信号/信号的稳定、无源和因果 SPICE 等效电路模型。在时域中对与有源非线性驱动器和组件集成的无源互连进行电源完整性分析。拟议的基于Python的软件包可以独立使用，也可以集成到现有的计算机辅助设计（CAD）工具和设计流程中，以促进设计自动化以及针对计算、通信等各种应用的先进微电子学的研究和开发、能源、安全、传感、健康等。该数值程序将作为开源项目托管在 GitHub 上，以促进和促进国家（国际）光学器件研究。教育部分扩大了公众的科学素养。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（11）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Width Confinement in 3D Dielectric Waveguides and Comparison to 2D Analytical Models

3D 介质波导的宽度限制以及与 2D 分析模型的比较

DOI：
发表时间：
2023-01
期刊：
CO
影响因子：
0
作者：
Guiana, Brian;Zadehgol, Ata
通讯作者：
Zadehgol, Ata

Machine Learning for Rectangular Waveguide Mode Identification, using 2D Modal Field Patterns

使用 2D 模态场模式进行矩形波导模式识别的机器学习

DOI：
发表时间：
2023-01
期刊：
CO.
影响因子：
0
作者：
Guiana, Brian;Zadehgol, Ata
通讯作者：
Zadehgol, Ata

Stochastic FDTD Modeling of Propagation Loss due to Random Surface Roughness in Sidewalls of Optical Interconnects

光互连侧壁随机表面粗糙度引起的传播损耗的随机 FDTD 建模

DOI：
10.23919/usnc-ursinrsm51531.2021.9336433
发表时间：
2021-02
期刊：
2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM
影响因子：
0
作者：
Guiana, Brian;Zadehgol, Ata
通讯作者：
Zadehgol, Ata

Stochastic Loss in Dielectric Slab Waveguides due to Exponential and Uncorrelated Surface Roughness

由于指数和不相关的表面粗糙度导致介质板波导的随机损耗

DOI：
10.23919/usnc-ursi52669.2022.9887412
发表时间：
2022-07
期刊：
CO
影响因子：
0
作者：
Guiana, Brian;Zadehgol, Ata
通讯作者：
Zadehgol, Ata

A 1D Gaussian Function for Efficient Generation of Plane Waves in 1D, 2D, and 3D FDTD

用于在 1D、2D 和 3D FDTD 中高效生成平面波的 1D 高斯函数

DOI：
10.1109/ieeeconf35879.2020.9329878
发表时间：
2020-07-05
期刊：
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
影响因子：
0
作者：
Brian Guiana;A. Zadehgol
通讯作者：
A. Zadehgol