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3296 search results found
  • 10.25.23-Digital-Cleanlab

    October 25, 2023Conference Video Duration: 5:34
    Startup Lightening Talk
  • Amanda
    Leigh
    Stack

    Research Engineer
    Primary DLC
    Department of Mechanical Engineering

    Contact

    MIT Room
    31-299
    astack@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.

  • Daniel
    G
    Nocera

    Patterson Rockwood Professor of Energy

    Contact

    MIT Room
    6-335
    Phone
    (617) 253-5537
    nocera@mit.edu
  • 2021-Management-David-Simchi-Levi

    September 22, 2021Conference Video Duration: 45:19
    David Simchi-Levi
    Professor of Engineering Systems
    Head, MIT Data Science Lab
  • 2024 MIT R&D Conference: Track 4 - Healthcare - Bioelectronics for Brain & Body

    November 19, 2024Conference Video Duration: 23:45
    Bioelectronics for Brain and Body
    Polina Anikeeva
    Professor, MIT Materials Science and Engineering
    Professor, MIT Brain and Cognitive Sciences

    Solid-state electronic devices and biological systems exhibit drastically disparate materials properties. While semiconductor devices are often hard, brittle, and bound to flat wafers, biological electronics, such as our nervous system, are soft, mobile, and three-dimensional. Our group bridges this material divide between synthetic and biological electronics by creating multifunctional fibers capable of minimally-invasive interfacing with the organs while integrating advanced sensing and stimulation capabilities. This talk will highlight the development and applications of multifunctional fibers to recording and modulation of neural activity in the brain and in the gastrointestinal tract in behaving subjects. Finally, it will demonstrate how bioelectronic devices can be applied to uncover neural circuits underlying gut-brain communication, paving the way to future gut-centric therapies for neurological and psychiatric disorders.

  • Timothy Swager-2.5.2021

    February 5, 2021Conference Video Duration: 30:51
    Timothy Swager
    John D. MacArthur Professor of Chemistry
  • Michael
    B
    McIlrath

    Research Scientist
    Primary DLC
    Department of Electrical Engineering and Computer Science

    Contact

    MIT Room
    26-157A
    Phone
    (617) 253-4183
    mbm@mit.edu
  • Douglas
    Hart

    Professor of Mechanical Engineering
    Primary DLC
    Department of Mechanical Engineering

    Contact

    MIT Room
    3-246
    Phone
    (617) 253-2178
    dphart@mit.edu

    Assistant

    Assistant Name
    Alexandra Cabral
    Assistant phone number
    (617) 324-2805
    cabrala@mit.edu

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