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CSR: Medium: Computing via Monolithic Three Dimensional Assembly of Novel Floating Gate Transistors and Thin Film Semiconductors

CSR: Medium: Computing via Monolithic Three Dimensional Assembly of Novel Floating Gate Transistors and Thin Film Semiconductors
CSR:中:通过新型浮栅晶体管和薄膜半导体的单片三维组装进行计算
批准号:
1065458
负责人:
Paul Franzon
金额:
$83.97万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-08-01 至 2016-07-31

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中文摘要
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英文摘要
Energy-proportional and low power computing, together with the increasing demands for high resiliency to random faults could benefit enormously from a "Unified Memory" - a memory cell that operate either as a dynamic cell or as a non-volatile cell, and switch seamlessly between the two states. This effort focuses on the development of such a cell based on a dual floating gate concept. The gate stack is optimized to low voltage operation. Because the dynamic storage mode relies on direct tunneling, the electric fields required are modest, and ALD methods are used to construct robust oxides, this device has potential for high endurance when operating in the dynamic storage mode. The device has a relatively low leakage compared to a DRAM cell and thus needs less frequent refreshing. The read is fast - almost SRAM speeds - and non-destructive, reducing power needs. Conversion between dynamic and non-volatiles modes is very fast - an entire row at a time, and consumes a lot less power than interfacing to a solid-state drive. The device can simultaneously store a non-volatile bit with a different volatile bit enabling fast in-situ check-pointing and rollback or state-saving to improve error resiliency.
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PFI-TT: Embedded Radio Frequency Identification (RFID) to secure the semiconductor supply chain
  • 批准号:
    2141176
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.98万
  • 财政年份:
    2022
  • 负责人:
    Paul Franzon
  • 依托单位:
IUCRC Phase II North Carolina State University: Center for Advanced Electronics through Machine Learning [CAEML]
  • 批准号:
    2137283
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2022
  • 负责人:
    Paul Franzon
  • 依托单位:
I/UCRC: Phase I: for Advanced Electronics through Machine Learning (CAEML)
  • 批准号:
    1624770
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $75.0万
  • 财政年份:
    2016
  • 负责人:
    Paul Franzon
  • 依托单位:
Collaborative Research: Planning Grant: I/UCRC for Advanced Electronics through Machine Learning
  • 批准号:
    1464632
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.15万
  • 财政年份:
    2015
  • 负责人:
    Paul Franzon
  • 依托单位:
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