Phase II IUCRC at University of Virginia: Center for Multi-functional Integrated System Technology (MIST)

弗吉尼亚大学 IUCRC 第二阶段：多功能集成系统技术中心 (MIST)

• 批准号: 1939012
• 负责人: Avik Ghosh
• 金额: $ 60.94万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1939012&HistoricalAwards=false
• 关键词: Phase; II; IUCRC; University; Virginia

The broader impacts of the Multi-functional Integrated System Technology (MIST) Center are to develop the hardware technologies necessary to propel the next generation of smart systems. The center focuses on translating novel materials, devices, and manufacturing processes into multi-functional integrated systems via collaboration with industry and government partners. The MIST Center targets pre-competitive research along the entire stack from emerging materials, electron, magnetic, acoustic, photonic, microelectromechanical, and photonic devices, to circuits and architecture needed to tackle complex challenges in developing the hardware underlying the Internet of Things (IoT). The Center trains the next generation of graduate students versed in the center's precompetitive research, actively recruits and mentors participants from underrepresented groups in science and engineering, and fosters public-private research networks across multiple academic, industrial, and government organizations. The UVA Site will expand the development of promotional videos, career fairs for internships in member companies, minority recruitment events, and its annual “Truck Touch” event as a hands-on discovery station for children.The proposed MIST Industry University Cooperative Research Center will be structured around five technology thrust areas – sensing, computing, wireless, power, and integration – to drive system technologies such as wearable devices, IoT systems, sensor networks, and "mist computing", bringing computing hardware to the sensor node and is the logical progression of the IoT ecosystem beyond cloud computing and fog computing. The MIST center will address specific technology challenges such as high-speed communication; self-powered, edge-of-the-node sensing; energy-efficient, low-power computing; advanced networking; and system integration. The UVA Site will pursue research in low-power electronics for computing, high speed photonics for sensing, and thermal management for power mitigation, with applications in the defense sector, such as AI for target tracking, low-power communication for battlefield-objective-warrior-network technology, and heat- energy propagation for microbolometer technology.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.

多功能集成系统技术中心(MIST)的更广泛影响是开发推动下一代智能系统所需的硬件技术。该中心专注于通过与行业和政府合作伙伴的合作，将新材料、设备和制造工艺转化为多功能集成系统。MIST中心的目标是整个堆栈的竞争前研究，从新兴材料、电子、磁性、声学、光子、微型机电和光子设备，到解决物联网(IoT)底层硬件开发中的复杂挑战所需的电路和架构。该中心培养精通该中心竞争前研究的下一代研究生，积极从科学和工程领域代表性不足的群体中招募和指导参与者，并在多个学术、工业和政府组织中培育公私研究网络。UVA网站将扩大宣传视频的开发，成员公司实习招聘会，少数族裔招聘活动，以及作为儿童实践发现站的年度“卡车触摸”活动。拟议的MIST工业大学合作研究中心将围绕五个技术推动力领域--传感、计算、无线、电力和集成--来驱动可穿戴设备、物联网系统、传感器网络和“雾计算”等系统技术，将计算硬件带到传感器节点，是物联网生态系统超越云计算和雾计算的合乎逻辑的发展。MIST中心将解决特定的技术挑战，如高速通信；自供电、节点边缘传感；节能、低功耗计算；先进网络；以及系统集成。UVA站点将在用于计算的低功率电子、用于传感的高速光子学和用于功率缓解的热管理方面进行研究，并在国防领域应用，例如用于目标跟踪的人工智能，用于战场目标战士网络技术的低功率通信，以及用于微测辐射热计技术的热能传播。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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

Temperature-resilient random number generation with stochastic actuated magnetic tunnel junction devices

使用随机驱动磁隧道结器件生成耐温随机数

• DOI: 10.1063/5.0186810
• 发表时间: 2024
• 期刊: Applied Physics Letters
• 影响因子: 4
• 作者: Rehm, Laura;Morshed, Md Golam;Misra, Shashank;Shukla, Ankit;Rakheja, Shaloo;Pinarbasi, Mustafa;Ghosh, Avik W.;Kent, Andrew D.
• 通讯作者: Kent, Andrew D.

Choose your tools carefully: a comparative evaluation of deterministic vs. stochastic and binary vs. analog neuron models for implementing emerging computing paradigms

• DOI: 10.3389/fnano.2023.1146852
• 发表时间: 2023-02
• 作者: Md Golam Morshed;S. Ganguly;Avik W. Ghosh

A Deep Dive Into the Computational Fidelity of High-Variability Low Energy Barrier Magnet Technology for Accelerating Optimization and Bayesian Problems

深入研究高可变性低能垒磁体技术的计算保真度，以加速优化和贝叶斯问题

• DOI: 10.1109/lmag.2023.3274051
• 发表时间: 2023
• 期刊: IEEE Magnetics Letters
• 影响因子: 1.2
• 作者: Morshed, Md Golam;Ganguly, Samiran;Ghosh, Avik W.
• 通讯作者: Ghosh, Avik W.