CAREER: Physics-Oriented Statistical Wave Analysis Integrating Order and Chaos

职业：面向物理的整合有序与混沌的统计波分析

• 批准号: 1953000
• 负责人: Zhen Peng
• 金额: $ 39.2万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-21 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1953000&HistoricalAwards=false
• 关键词: CAREER; Physics; Oriented; Statistical; Wave

Wireless communications, electronics, and sensor systems are expected to take place in increasingly congested, contested, and competitive environments. The evolving complexity of wireless communications demands fundamental changes to existing electromagnetic wave analysis and modeling methodologies. Often at times, there is no precise knowledge of the wave system, the radiating noise source, and the propagation environment. Furthermore, in the short-wavelength regime, the electromagnetic wave scattering process can be very sensitive to details. It results in a very high variability of wave distributions, and makes the deterministic solution relevant only to the specific configuration. This project proposes new physics-oriented statistical electromagnetic wave models to resolve environmental uncertainties. The proposed research opens up new pathways to exploit the complexity of propagation environments when designing wireless devices and antennas. The outcomes will establish a configurable virtual testbed for communications in complex environments not confined by the laboratory measurements. The research advancements will be integrated with the education to develop unconventional educational tools. The project will create a virtual reality electromagnetic laboratory at University of New Mexico (UNM), which offers a multifaceted teaching and learning environment through innovative data visualization and interactive simulation. Other educational components include developing online courses and advanced cross-disciplinary courses, mentoring high school students through UNMTemps Youth Summer program, and broadening participation of underrepresented groups by working with UNM's state-funded Multicultural Engineering Program and the New Mexico Alliance for Minority Participation. The objective of this research is to investigate fundamental mathematical models and computational algorithms for the statistical wave analysis in complex electromagnetic environments. The project will study an innovative theoretical solution to Maxwell's Equations in the wave-chaotic media (domains exhibiting ray-chaotic dynamics). The fundamental solution (stochastic Green's function) rigorously integrates the coherent and incoherent propagations within a compact form. A new stochastic integral equation method is proposed for the statistical wave propagation through the chaotic environment. It quantitatively interprets the universal statistical properties of wave chaos through the random matrix theory. Since real-world electromagnetic systems often exhibit mixed chaotic and regular wave dynamics, the second part of the work investigates the first-principles theoretical framework of combing the integrable (regular) and non-integrable (chaotic) wave dynamics. By incorporating the component-, site-, and system-specific information with the universal chaotic dynamics, the work accomplishes a comprehensive framework for the statistical analysis and uncertainty quantification of complex wave systems. The advancements will establish an imperative simulation-driven, design-under-chaos capability, which is expected to have a big impact in the engineering discipline. Knowledge from this project will bring forth a new generation of computer-aided design (CAD) tools that will revolutionize electromagnetic simulation, prediction, design and optimization in complex environments. While the proposed research primarily focuses on electrodynamics, the methodology can be applied to other fields including acoustics and vibrations, quantum mesoscopic transport, and nuclear physics.

无线通信、电子和传感器系统预计将在日益拥挤、竞争激烈和竞争激烈的环境中进行。无线通信不断发展的复杂性要求从根本上改变现有的电磁波分析和建模方法。通常情况下，没有关于波系统、辐射噪声源和传播环境的精确知识。此外，在短波长区，电磁波散射过程可能对细节非常敏感。它导致波浪分布具有很高的可变性，并使确定性解只与特定的构型相关。该项目提出了新的面向物理的统计电磁波模型来解决环境不确定性。这项拟议的研究为在设计无线设备和天线时利用传播环境的复杂性开辟了新的途径。其成果将为复杂环境中的通信建立一个可配置的虚拟试验台，不受实验室测量的限制。研究进展将与教育相结合，开发非常规教育工具。该项目将在新墨西哥大学(UNM)创建一个虚拟现实电磁实验室，通过创新的数据可视化和交互模拟提供一个多方面的教学环境。其他教育内容包括开发在线课程和高级跨学科课程，通过UNMTemps青年暑期计划指导高中生，以及通过与新墨西哥州资助的多元文化工程计划和新墨西哥州少数民族参与联盟合作，扩大代表不足群体的参与。本研究的目的是研究复杂电磁环境下统计波形分析的基本数学模型和计算算法。该项目将研究波-混沌介质(呈现射线-混沌动力学的区域)中麦克斯韦方程的一种创新的理论解。基本解(随机格林函数)将相干传播和非相干传播严格地积分在一个紧凑的形式中。提出了一种新的统计波在混沌环境中传播的随机积分方程法。利用随机矩阵理论定量地解释了波动混沌的普遍统计特性。由于现实世界中的电磁系统经常表现出混杂的混沌和规则波动力学，本文第二部分研究了结合可积(正则)波动力学和不可积(混沌)波动力学的第一原理理论框架。通过将组件、位置和系统特定的信息与普遍的混沌动力学相结合，这项工作完成了复杂波动系统的统计分析和不确定性量化的全面框架。这些进展将建立一种势在必行的模拟驱动、混乱下设计的能力，预计将对工程学科产生重大影响。来自该项目的知识将带来新一代计算机辅助设计(CAD)工具，这些工具将彻底改变复杂环境中的电磁模拟、预测、设计和优化。虽然拟议的研究主要集中在电动力学上，但该方法也可以应用于其他领域，包括声学和振动、量子介观输运和核物理。

项目成果

A Hybrid Classical-Quantum Computing Framework for RIS-assisted Wireless Network

• DOI: 10.1109/nemo56117.2023.10202166
• 发表时间: 2023-06
• 期刊: 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)
• 作者: C. Ross;G. Gradoni;Z. Peng

Predicting Statistical Wave Physics in Complex Enclosures: A Stochastic Dyadic Green's Function Approach

预测复杂外壳中的统计波物理：随机并进格林函数方法

• DOI: 10.1109/temc.2023.3234912
• 发表时间: 2023
• 期刊: IEEE Transactions on Electromagnetic Compatibility
• 影响因子: 2.1
• 作者: Lin, Shen;Luo, Sangrui;Ma, Shukai;Feng, Junda;Shao, Yang;Drikas, Zachary B.;Addissie, Bisrat D.;Anlage, Steven M.;Antonsen, Thomas;Peng, Zhen
• 通讯作者: Peng, Zhen

Engineering Reflective Metasurfaces with Ising Hamiltonian and Quantum Annealing

• DOI: 10.1109/tap.2021.3137424
• 发表时间: 2021-05
• 期刊: IEEE Transactions on Antennas and Propagation
• 影响因子: 5.7
• 作者: C. Ross;G. Gradoni;Q. Lim;Zhen Peng

On the Vectorial Property of Stochastic Dyadic Green's Function in Complex Electronic Enclosures

复杂电子外壳中随机并进格林函数的矢量性质

• DOI: 10.1109/emcsi39492.2022.9889518
• 发表时间: 2022
• 期刊: 2022 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI
• 作者: Lin, Shen;Shao, Yang;Peng, Zhen
• 通讯作者: Peng, Zhen

On the Statistical Analysis of Space-Time Wave Physics in Complex Enclosures

复杂外壳中时空波动物理的统计分析

• DOI: 10.1109/epeps51341.2021.9609212
• 发表时间: 2021
• 期刊: 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS
• 作者: Lin, Shen;Peng, Zhen
• 通讯作者: Peng, Zhen