NSF Convergence Accelerator Track I: Advancing Sustainable Topological Material Prototype Devices for Energy-efficient Applications

NSF 融合加速器轨道 I:推进可持续拓扑材料原型器件的节能应用

基本信息

  • 批准号:
    2345084
  • 负责人:
  • 金额:
    $ 500万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Cooperative Agreement
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-12-15 至 2026-11-30
  • 项目状态:
    未结题

项目摘要

In today's technologically advanced world, the challenges of energy sustainability and electronics efficiency are more pressing than ever. The advent of 6G+ mobile platforms, the bottlenecks that may end Moore’s law, and the significant waste heat generated during computation processes represent significant hurdles in computing. Topological materials, recognized by the 2016 Nobel Prize in Physics, have emerged as a groundbreaking solution. This project, led by a team of dedicated researchers and industrial partners, delves into the innovative realm of topological materials to address these widespread industrial challenges. By enhancing the understanding and building related devices, the project seeks not only to push the boundaries of scientific knowledge but also to develop technologies and intellectual properties that are in harmony with environmental and societal needs for next-generation computing needs. The project also serves as a catalyst for educational and diversity advancement, providing opportunities for students from varied backgrounds to engage in pioneering research. Ultimately, this initiative signifies a commitment to a future where technological advancement and sustainability are interwoven and converged, addressing fundamental societal challenges in an accelerated manner. This project will leverage the groundbreaking potential of topological materials in quantum research, building upon the Phase I success in creating a comprehensive database of over 16,000 environmentally sustainable topological materials. Phase II aims to develop eco-friendly topological prototype devices for advanced applications in microelectronics and energy harvesting. The project's multifaceted approach involves integrating THz rectification, constructing topological interconnects for microchips, and developing efficient thermoelectric materials for wearable energy devices. Key deliverables include refined database capabilities, THz wave detection and wireless energy harvesting technologies, interconnects for microelectronics, as well as innovative solutions for chip heat management and sustainable microelectronics. The project is underpinned by a robust IP management plan compliant with federal laws, ensuring cooperative ownership and licensing of joint innovations. The collaboration among PIs from academia and industry leaders from three major corporations aims to transition topological materials from lab-scale marvels to mass-produced, industry-viable solutions. By combining intellectual merit with broader impacts, the project seeks to pave the way for a sustainable, environmentally-friendly future in next-generation microelectronics and energy devices, while fostering inclusivity and diversity in the scientific community.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.
在当今技术先进的世界,能源可持续性和电子效率的挑战比以往任何时候都更加紧迫。6G+移动的平台的出现、可能终结摩尔定律的瓶颈以及计算过程中产生的大量废热代表了计算中的重大障碍。2016年诺贝尔物理学奖认可的拓扑材料已经成为一种突破性的解决方案。该项目由一组专门的研究人员和工业合作伙伴领导,深入研究拓扑材料的创新领域,以解决这些广泛的工业挑战。通过加强理解和构建相关设备,该项目不仅寻求推动科学知识的边界,而且还开发与环境和社会需求相协调的技术和知识产权,以满足下一代计算需求。该项目还作为教育和多样性进步的催化剂,为来自不同背景的学生提供参与开创性研究的机会。最终,这一举措意味着对未来的承诺,在未来,技术进步和可持续性相互交织和融合,以加速的方式应对基本的社会挑战。该项目将利用拓扑材料在量子研究中的开创性潜力,建立在第一阶段成功创建超过16,000种环境可持续拓扑材料的综合数据库的基础上。第二阶段的目标是开发生态友好的拓扑原型设备,用于微电子和能量收集的高级应用。该项目的多方面方法包括集成THz整流,为微芯片构建拓扑互连,以及为可穿戴能源设备开发高效热电材料。主要交付成果包括完善的数据库功能、太赫兹波检测和无线能量收集技术、微电子互连以及芯片热管理和可持续微电子的创新解决方案。该项目得到了一个符合联邦法律的强有力的知识产权管理计划的支持,确保了合作所有权和联合创新的许可。来自学术界的PI和来自三大公司的行业领导者之间的合作旨在将拓扑材料从实验室规模的奇迹转变为大规模生产的工业可行的解决方案。通过将知识价值与更广泛的影响相结合,该项目旨在为下一代微电子和能源设备的可持续发展和环境友好的未来铺平道路,同时促进科学界的包容性和多样性。该奖项反映了NSF的法定使命,并通过使用基金会的知识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

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Mingda Li其他文献

Coarse-Grained Reduced MoxTi1−xNb2O7+y Anodes for High-Rate Lithium-ion Batteries
高倍率锂离子电池粗晶还原MoxTi1-xNb2O7 y阳极
  • DOI:
    10.1016/j.ensm.2020.10.016
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    20.4
  • 作者:
    Lijiang Zhao;Shitong Wang;Yanhao Dong;Wei Quan;Fei Han;Yimeng Huang;Yutong Li;Xinghua Liu;Mingda Li;Zhongtai Zhang;Junying Zhang;Zilong Tang;Ju Li
  • 通讯作者:
    Ju Li
A method for assessing the risk of rockburst based on coal-rock mechanical properties and In-Situ ground stress
一种基于煤岩力学性质和原地地应力的岩爆风险评估方法
  • DOI:
    10.1038/s41598-024-76971-0
  • 发表时间:
    2024-10-30
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Hai Rong;Nannan Li;Chen Cao;Yadi Wang;Shilong Wei;Jincheng Li;Mingda Li
  • 通讯作者:
    Mingda Li
Image tampering detection based on RDS-YOLOv5 feature enhancement transformation
  • DOI:
    10.1038/s41598-024-76388-9
  • 发表时间:
    2024-10-30
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Meilong Zhu;Mingda Li;Zhaohui Wang
  • 通讯作者:
    Zhaohui Wang
Combustion kinetics and ash particles structure analysis of biomass in-situ and cooling char
生物质原位及冷却炭的燃烧动力学和灰颗粒结构分析
  • DOI:
    10.1016/j.energy.2025.134883
  • 发表时间:
    2025-03-01
  • 期刊:
  • 影响因子:
    9.400
  • 作者:
    Mingda Li;Guangqian Luo;Renjie Zou;Wencong Qiu;Yi Xiao;Guangwen Xu;Hong Yao
  • 通讯作者:
    Hong Yao
Clustering Algorithm of Similarity Segmentation based on Point Sorting
基于点排序的相似度分割聚类算法
  • DOI:
    10.2991/lemcs-15.2015.91
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    5.8
  • 作者:
    Han;Yan Wang;Lan Huang;Mingda Li;Ying Sun;Hanyuan Zhang
  • 通讯作者:
    Hanyuan Zhang

Mingda Li的其他文献

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{{ truncateString('Mingda Li', 18)}}的其他基金

NSF Convergence Accelerator Track I: Sustainable Topological Energy Materials (STEM) for Energy-efficient Applications
NSF 融合加速器轨道 I:用于节能应用的可持续拓扑能源材料 (STEM)
  • 批准号:
    2235945
  • 财政年份:
    2022
  • 资助金额:
    $ 500万
  • 项目类别:
    Standard Grant
Collaborative Research: DMREF: Symmetry-Guided Machine Learning for the Discovery of Topological Phononic Materials
合作研究:DMREF:用于发现拓扑声子材料的对称引导机器学习
  • 批准号:
    2118448
  • 财政年份:
    2021
  • 资助金额:
    $ 500万
  • 项目类别:
    Standard Grant

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