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3889 search results found
  • Lawrence
    Sass

    Professor of Architecture
    Primary DLC
    Department of Architecture

    Contact

    MIT Room
    7-304C
    Phone
    (617) 452-2023
    lsass@mit.edu
  • Delia
    Wendel

    Associate Professor of Urban Studies and International Development
    Primary DLC
    Department of Urban Studies and Planning

    Contact

    MIT Room
    9-521
    Phone
    (617) 324-3780
    wendel@mit.edu
  • Michel
    X
    Goemans

    RSA Professor of Mathematics
    Primary DLC
    Department of Mathematics

    Contact

    MIT Room
    2-474
    Phone
    (617) 253-2688
    goemans@math.mit.edu
  • Sara
    Prescott

    Pfizer Inc. - Gerald Laubach Career Development Assistant Professor of Biology
    Primary DLC
    Department of Biology

    Contact

    MIT Room
    68-330A
    Phone
    (617) 715-3387
    sprescot@mit.edu
  • Aragao

    Jeehwan Kim - 2017 ICT Conference

    April 12, 2017Conference Video Duration: 41:34

    Extremely cost-effective semiconductor layer-transfer process via graphene & Highly uniform advanced RRAM

    As a strategy to save the cost of expensive substrates in semiconductor processing, the technique called “layer-transfer” has been developed. In order to achieve real cost-reduction via the “layer-transfer”, the following needs to be insured: (1) Reusability of the expensive substrate, (2) Minimal substrate refurbishment step after the layer release, (3) Fast release rate, and (4) Precise control of a released interface. Although a number of layer transfer methods have been developed including chemical lift-off, optical lift-off, and mechanical lift-off, none of those three methods fully satisfies conditions listed above. In this talk, we will discuss our recent development in a “graphene-based layer-transfer” process that could fully satisfy the above requirements, where epitaxial graphene can serve as a universal seed layer to grow single-crystalline GaN, III-V, II-VI and IV semiconductor films and a release layer that allows precise and repeatable release at the graphene surface. We will further discuss about cost-effective, defect-free heterointergration of semiconductors using graphene-based layer transfers.

    Lastly, I will introduce our new research activities in developing advanced RRAM devices. Resistive switching devices have attracted tremendous attention due to their high endurance, sub-nanosecond switching, long retention, scalability, low power consumption, and CMOS compatibility. RRAMs have also emerged as a promising candidate for non-Von Neumann computing architectures based on neuromorphic and machine learning systems to deal with “big data” problems such as pattern recognition from large amounts of data sets. However, currently reported RRAM devices have not shown uniform switching behaviors across the devices with high on-off ratio which holds up commercialization of RRAM-based data storages as well as demonstration of large-scale neuromorphic functions. Recently, we redesigned RRAM devices and this new device structure exhibits most of functions required for large-array memories and neuromorphic computing, which are (1) excellent retention with high endurance, (2) excellent device uniformity, (3) high on/off current ratio, and (4) current suppression in low voltage regime. I will discuss about the characterization results of this new RRAM device.

    2017 MIT Information and Communication Technologies Conference
  • John Hansman

    Jeehwan Kim - 2017 Japan

    January 27, 2017Conference Video Duration: 35:41

    Extremely cost-effective semiconductor layer-transfer process via graphene & Highly uniform advanced RRAM

    As a strategy to save the cost of expensive substrates in semiconductor processing, the technique called “layer-transfer” has been developed. In order to achieve real cost-reduction via the “layer-transfer”, the following needs to be insured: (1) Reusability of the expensive substrate, (2) Minimal substrate refurbishment step after the layer release, (3) Fast release rate, and (4) Precise control of a released interface. Although a number of layer transfer methods have been developed including chemical lift-off, optical lift-off, and mechanical lift-off, none of those three methods fully satisfies conditions listed above. In this talk, we will discuss our recent development in a “graphene-based layer-transfer” process that could fully satisfy the above requirements, where epitaxial graphene can serve as a universal seed layer to grow single-crystalline GaN, III-V, II-VI and IV semiconductor films and a release layer that allows precise and repeatable release at the graphene surface. We will further discuss about cost-effective, defect-free heterointergration of semiconductors using graphene-based layer transfers.

    Lastly, I will introduce our new research activities in developing advanced RRAM devices. Resistive switching devices have attracted tremendous attention due to their high endurance, sub-nanosecond switching, long retention, scalability, low power consumption, and CMOS compatibility. RRAMs have also emerged as a promising candidate for non-Von Neumann computing architectures based on neuromorphic and machine learning systems to deal with “big data” problems such as pattern recognition from large amounts of data sets. However, currently reported RRAM devices have not shown uniform switching behaviors across the devices with high on-off ratio which holds up commercialization of RRAM-based data storages as well as demonstration of large-scale neuromorphic functions. Recently, we redesigned RRAM devices and this new device structure exhibits most of functions required for large-array memories and neuromorphic computing, which are (1) excellent retention with high endurance, (2) excellent device uniformity, (3) high on/off current ratio, and (4) current suppression in low voltage regime. I will discuss about the characterization results of this new RRAM device.

  • Timothy
    K
    Lu

    Associate Professor of Electrical Engineering
    Primary DLC
    Department of Electrical Engineering and Computer Science

    Contact

    MIT Room
    NE47-221
    Phone
    (617) 715-4808
    timlu@mit.edu
  • Daniel
    G
    Nocera

    Patterson Rockwood Professor of Energy

    Contact

    MIT Room
    6-335
    Phone
    (617) 253-5537
    nocera@mit.edu
  • Timothy Swager-2.5.2021

    February 5, 2021Conference Video Duration: 30:51
    Timothy Swager
    John D. MacArthur Professor of Chemistry
  • Robert
    C
    Miller

    Distinguished Professor in Electrical Engineering
    Primary DLC
    Department of Electrical Engineering and Computer Science

    Contact

    MIT Room
    32-G718
    Phone
    (617) 324-6028
    rcm@mit.edu

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