Collaborative Research: Reconfigurable Intelligent Electromagnetic Surface Using Magnetic Shape Memory Polymers
合作研究:使用磁性形状记忆聚合物的可重构智能电磁表面
基本信息
- 批准号:2300157
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-10-01 至 2026-09-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The ability to dynamically manipulate electromagnetic waves by a flat aperture will lead to the realization of reconfigurable intelligent surfaces (RIS). This vision includes implementing such reconfigurable surfaces at cell tower base stations to increase capacity and serve more users for 5G and beyond wireless systems in both outdoor and indoor settings. Moreover, dynamic and arbitrary manipulation of electromagnetic wavefronts is an exciting and versatile tool for next-generation wireless communication, imaging, holography, surveillance, and sensing applications. Reconfigurability or programmability is a vital feature of such future agile radio frequency systems. Reconfigurable devices or circuits (e.g., diodes and variable capacitors) have been used in such smart systems to control radiation pattern, polarization, or operating frequency. This project investigates a new approach of using programmable soft materials, for the first time, on RIS. The new approach offers unique advantages over the state-of-art technologies. This project is an interdisciplinary and collaborative effort between the mmWave Antennas and Arrays Laboratory (School of Electrical and Computer Engineering at Georgia Institute of Technology) and the Soft Intelligent Materials Laboratory (Department of Mechanical Engineering at Stanford University).The research of this project is transformative as it challenges the conventional methods that have been applied to control RIS and reconfigure those wireless systems using them. The new approach is based on a viable mechanical reconfiguration method using shape memory polymers and magnetic actuation. Thus, unlike other state-of-the-art technologies, semiconductor switching devices such as diodes are no longer needed inside each unit cell. The advantage of this global reconfiguration method becomes even more important for large intelligent surfaces. In contrast to traditional reconfiguration schemes that use semiconductor devices such as diodes, the new architecture utilizes a unique and purely mechanical deformation that does not suffer from loss and nonlinearity associated with traditional semiconductor devices. In this project, researchers will use magnetically responsive soft materials to drive the multimodal mechanical shape reconfigurations of the RIS under an external magnetic field with several tens of millitesla. The project is expected to demonstrate several advantages of the new approach over existing state-of-art technologies, including programmability enabled by magnetic excitation, linearity, scalability, low operating voltage, low loss, and multimodal reconfiguration.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.
通过平坦孔径动态操纵电磁波的能力将导致可重构智能表面(RIS)的实现。这一愿景包括在蜂窝塔基站实施此类可重新配置的表面,以增加容量并在室外和室内环境中为更多用户提供 5G 及超越无线系统的服务。此外,电磁波前的动态和任意操纵是下一代无线通信、成像、全息、监视和传感应用的令人兴奋的多功能工具。可重新配置性或可编程性是此类未来敏捷射频系统的重要特征。可重构器件或电路(例如二极管和可变电容器)已在此类智能系统中用于控制辐射方向图、极化或工作频率。该项目首次研究了在 RIS 上使用可编程软材料的新方法。与最先进的技术相比,新方法具有独特的优势。该项目是毫米波天线与阵列实验室(佐治亚理工学院电气与计算机工程学院)和软智能材料实验室(斯坦福大学机械工程系)之间的跨学科合作成果。该项目的研究是它具有变革性,因为它挑战了用于控制 RIS 并使用它们重新配置那些无线系统的传统方法。新方法基于使用形状记忆聚合物和磁驱动的可行机械重构方法。因此,与其他最先进的技术不同,每个单位单元内不再需要诸如二极管之类的半导体开关器件。这种全局重新配置方法的优点对于大型智能表面变得更加重要。与使用二极管等半导体器件的传统重构方案相比,新架构利用独特的纯机械变形,不会遭受与传统半导体器件相关的损耗和非线性。在该项目中,研究人员将使用磁响应软材料在数十毫特斯拉的外部磁场下驱动RIS的多模态机械形状重构。该项目预计将展示新方法相对于现有最先进技术的多项优势,包括磁激励实现的可编程性、线性度、可扩展性、低工作电压、低损耗和多模态重新配置。该奖项反映了 NSF 的法定使命和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,该项目被认为值得支持。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Magneto‐Mechanical Bilayer Metamaterial with Global Area‐Preserving Density Tunability for Acoustic Wave Regulation
磁力 - 具有全局区域的机械双层超材料 - 保持声波调节的密度可调性
- DOI:10.1002/adma.202303541
- 发表时间:2023-07
- 期刊:
- 影响因子:29.4
- 作者:Sim, Jay;Wu, Shuai;Dai, Jize;Zhao, Ruike Renee
- 通讯作者:Zhao, Ruike Renee
Physics-aware differentiable design of magnetically actuated kirigami for shape morphing
用于形状变形的磁驱动剪纸的物理感知微分设计
- DOI:10.1038/s41467-023-44303-x
- 发表时间:2023-12
- 期刊:
- 影响因子:16.6
- 作者:Wang, Liwei;Chang, Yilong;Wu, Shuai;Zhao, Ruike Renee;Chen, Wei
- 通讯作者:Chen, Wei
Magneto-Mechanical Metamaterials: A Perspective
磁机械超材料:一个视角
- DOI:10.1115/1.4063816
- 发表时间:2024-03
- 期刊:
- 影响因子:0
- 作者:Sim, Jay;Zhao, Ruike Renee
- 通讯作者:Zhao, Ruike Renee
Mechanics of hard-magnetic soft materials: A review
硬磁软材料力学:综述
- DOI:10.1016/j.mechmat.2023.104874
- 发表时间:2024-02
- 期刊:
- 影响因子:3.9
- 作者:Lu, Lu;Sim, Jay;Zhao, Ruike Renee
- 通讯作者:Zhao, Ruike Renee
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Ruike Renee Zhao其他文献
Machine learning and sequential subdomain optimization for ultrafast inverse design of 4D-printed active composite structures
用于 4D 打印活性复合结构超快逆向设计的机器学习和顺序子域优化
- DOI:
10.1016/j.jmps.2024.105561 - 发表时间:
2024-02-01 - 期刊:
- 影响因子:5.3
- 作者:
Xiaohao Sun;Luxia Yu;Liang Yue;Kun Zhou;Frédéric Demoly;Ruike Renee Zhao;H. J. Qi - 通讯作者:
H. J. Qi
Machine learning-enabled forward prediction and inverse design of 4D-printed active plates
基于机器学习的 4D 打印活性板的正向预测和逆向设计
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:16.6
- 作者:
Xiaohao Sun;Liang Yue;Luxia Yu;Connor T Forte;Connor D. Armstrong;Kun Zhou;Frédéric Demoly;Ruike Renee Zhao;H. J. Qi - 通讯作者:
H. J. Qi
Mechanics of magnetic-shape memory polymers
磁性形状记忆聚合物的力学
- DOI:
10.1016/j.jmps.2024.105742 - 发表时间:
2024-06-01 - 期刊:
- 影响因子:5.3
- 作者:
Lu Lu;Shuai Wu;Ruike Renee Zhao - 通讯作者:
Ruike Renee Zhao
Magneto-Mechanical Metamaterials: A Perspective
磁机械超材料:一个视角
- DOI:
10.1115/1.4063816 - 发表时间:
2023-10-17 - 期刊:
- 影响因子:0
- 作者:
Jay Sim;Ruike Renee Zhao - 通讯作者:
Ruike Renee Zhao
Mechanics of hard-magnetic soft materials: A review
硬磁软材料力学:综述
- DOI:
10.1016/j.mechmat.2023.104874 - 发表时间:
2023-11-01 - 期刊:
- 影响因子:3.9
- 作者:
Lu Lu;Jay Sim;Ruike Renee Zhao - 通讯作者:
Ruike Renee Zhao
Ruike Renee Zhao的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Ruike Renee Zhao', 18)}}的其他基金
Collaborative Research: CPS: Medium: Autonomy of Origami-inspired Transformable Systems in Space Operations
合作研究:CPS:媒介:太空作战中受折纸启发的可变换系统的自主性
- 批准号:
2201344 - 财政年份:2022
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Micromechanics of Interactions Between Hard Magnetic Particles and Soft Matrix on Magneto-Mechanical Actuation
磁机械驱动中硬磁颗粒与软基体相互作用的微观力学
- 批准号:
2142789 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CAREER: Multiphysics Mechanics of Magnetic Shape Memory Polymers
职业:磁性形状记忆聚合物的多物理力学
- 批准号:
2145601 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Micromechanics of Interactions Between Hard Magnetic Particles and Soft Matrix on Magneto-Mechanical Actuation
磁机械驱动中硬磁颗粒与软基体相互作用的微观力学
- 批准号:
1939543 - 财政年份:2020
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
EAGER: Collaborative Research: Origami-Based Extremely-Packed Multistable Pop-Up Design for Medical Masks
EAGER:合作研究:基于折纸的超密集多稳态弹出式医用口罩设计
- 批准号:
2029643 - 财政年份:2020
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CAREER: Multiphysics Mechanics of Magnetic Shape Memory Polymers
职业:磁性形状记忆聚合物的多物理力学
- 批准号:
1943070 - 财政年份:2020
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
相似国自然基金
基于肿瘤病理图片的靶向药物敏感生物标志物识别及统计算法的研究
- 批准号:82304250
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
肠道普拉梭菌代谢物丁酸抑制心室肌铁死亡改善老龄性心功能不全的机制研究
- 批准号:82300430
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
社会网络关系对公司现金持有决策影响——基于共御风险的作用机制研究
- 批准号:72302067
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
面向图像目标检测的新型弱监督学习方法研究
- 批准号:62371157
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
面向开放域对话系统信息获取的准确性研究
- 批准号:62376067
- 批准年份:2023
- 资助金额:51 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328975 - 财政年份:2024
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328972 - 财政年份:2024
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328974 - 财政年份:2024
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328973 - 财政年份:2024
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328974 - 财政年份:2024
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant