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（MIST）中心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。该中心致力于通过与行业和政府合作伙伴的合作，将新颖的材料，设备和制造过程转化为多功能集成系统。薄雾中心针对新兴材料，磁性，磁性，声学，光子，微机械和光子设备的竞争性研究，到应对制定物联网（IoT）基础硬件的复杂挑战所需的电路和建筑所需的电路和建筑所需。该中心培训了专为该中心预竞争性研究的下一代研究生培训，积极招募科学和工程领域代表性不足的团体的参与者，并培养了多个学术，工业，政府组织的公私研究网络。 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 hand-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",将计算硬件带入传感器节点，这是物联网生态系统的逻辑进程，而不是云计算和雾计算。薄雾中心将应对特定的技术挑战，例如高速通信；自动，节点感测；节能，低功率计算；高级网络；和系统集成。 The UVA Site will pursue research in low-power electronics for computing, high speed Photonics for sensitivity, 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 precious of support through evaluation利用基金会的知识分子和更广泛的影响审查标准。

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.

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.

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