MRI: Acquisition of the Multi-Probe Wide-Temperature Parameter Analysis System for Low-Voltage Low-Noise Measurements
MRI:获取用于低电压低噪声测量的多探头宽温参数分析系统
基本信息
- 批准号:0923376
- 负责人:
- 金额:$ 10.06万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-09-15 至 2011-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The objective of this research is to study the characteristics and operational phenomena of new ballistic nanoscale devices and circuits based on compound materials and graphene. The project also includes the study of the impact of defects on high power GaN power performance. All experimental studies are conducted using the acquired multi-probe wide temperature range semiconductor parameter analysis system. The system consists of a high precision semiconductor parameter analyzer system combined with a multi-probe high accuracy system with integrated wide and rapid temperature control.Intellectual Merit: Issues addressed by the research focus on two topics: development of a new class of digital/analog circuits based on newly invented room temperature ballistic deflection transistors operating at terahertz frequency, and the investigation of failure mechanisms causing gate leakage and power failures in GaN transistors, particularly for short channel GaN HEMTs at frequencies above 20GHz and at temperatures up to 400C.Broader Impacts: The broader impacts of this research include improved nanodevice research capability and enhanced graduate and undergraduate education. UMass Lowell provides education for a diverse group of students. It is located in a region with a high concentration of immigrant families, especially from Latin America, Southeast Asia and Africa. This population represents the three largest minority groups. The acquired system will be instrumental in research training and preparing the next generation of minority engineering students for advanced study in nanotechnology and nanodevices. Further, the acquired system will expand research collaborations with other research institutions and partners in the area.
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。本研究的目的是研究基于复合材料和石墨烯的新型弹道纳米器件和电路的特性和运行现象。该项目还包括研究缺陷对大功率氮化镓功率性能的影响。所有的实验研究都是使用所获得的多探头宽温度范围半导体参数分析系统进行的。该系统由高精度半导体参数分析系统和多探头高精度集成宽快速控温系统组成。智力优势:研究的问题集中在两个主题上:基于新发明的室温弹道偏转晶体管在太赫兹频率下工作的新型数字/模拟电路的开发,以及对GaN晶体管中导致栅极泄漏和电源故障的失效机制的研究,特别是对于频率高于20GHz和温度高达400℃的短通道GaN hemt。更广泛的影响:这项研究的更广泛的影响包括提高纳米器件的研究能力和加强研究生和本科教育。麻省大学洛厄尔分校为不同的学生群体提供教育。它位于一个移民家庭高度集中的地区,特别是来自拉丁美洲、东南亚和非洲的移民家庭。这些人口代表了三个最大的少数民族。获得的系统将有助于研究培训,并为下一代少数民族工程学生在纳米技术和纳米器件方面的高级研究做好准备。此外,获得的系统将扩大与该地区其他研究机构和伙伴的研究合作。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Martin Margala其他文献
A Novel Approach to Managing System-on-Chip Sub-Blocks Using a 16-Bit Real-Time Operating System
使用 16 位实时操作系统管理片上系统子块的新方法
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:2.9
- 作者:
B. Pitre;Martin Margala - 通讯作者:
Martin Margala
A precise coronary artery disease prediction using Boosted C5.0 decision tree model
使用 Boosted C5.0 决策树模型进行精确的冠状动脉疾病预测
- DOI:
10.32629/jai.v6i3.628 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Surjeet Dalal;U. Lilhore;Sarita Simaiya;Vivek Jaglan;Anand Mohan;Sachin Ahuja;Akshat Agrawal;Martin Margala;Prasun Chakrabarti - 通讯作者:
Prasun Chakrabarti
Leakage-Aware Droop Measurement Built-in Self-Test Circuit for Digital Low-Dropout Regulators
- DOI:
10.1007/s10836-018-5744-7 - 发表时间:
2018-07-21 - 期刊:
- 影响因子:1.300
- 作者:
Aydin Dirican;Cagatay Ozmen;Martin Margala - 通讯作者:
Martin Margala
Retraction Note: Optimizing IoT-enabled WSN routing strategies using whale optimization-driven multi-criterion correlation approach employs the reinforcement learning agent
- DOI:
10.1007/s11082-024-07824-3 - 发表时间:
2024-11-13 - 期刊:
- 影响因子:4.000
- 作者:
K. Vijayan;Pravin R. Kshirsagar;Shrikant Vijayrao Sonekar;Prasun chakrabarti;Bhuvan Unhelkar;Martin Margala - 通讯作者:
Martin Margala
Robust diabetic prediction using ensemble machine learning models with synthetic minority over-sampling technique
使用具有合成少数类过采样技术的集成机器学习模型进行稳健的糖尿病预测
- DOI:
10.1038/s41598-024-78519-8 - 发表时间:
2024-11-22 - 期刊:
- 影响因子:3.900
- 作者:
Pradeepa Sampath;Gurupriya Elangovan;Kaaveya Ravichandran;Vimal Shanmuganathan;Subbulakshmi Pasupathi;Tulika Chakrabarti;Prasun Chakrabarti;Martin Margala - 通讯作者:
Martin Margala
Martin Margala的其他文献
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{{ truncateString('Martin Margala', 18)}}的其他基金
EAGER: Novel Memory Design with Ballistic Deflection Transistors
EAGER:采用弹道偏转晶体管的新颖内存设计
- 批准号:
1546011 - 财政年份:2015
- 资助金额:
$ 10.06万 - 项目类别:
Standard Grant
US -Turkey Collaborative Effort in Advancing Assistive Technology based Education via State of the Art Research, Istanbul, Turkey, March 2011
美国-土耳其通过最先进的研究合作推进基于辅助技术的教育,土耳其伊斯坦布尔,2011 年 3 月
- 批准号:
1032297 - 财政年份:2010
- 资助金额:
$ 10.06万 - 项目类别:
Standard Grant
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