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    Towards neuromorphic electronics: Memristors on foldable silicon fabric

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    Type
    Article
    Authors
    Ghoneim, Mohamed T. cc
    Zidan, Mohammed A. cc
    Salama, Khaled N. cc
    Hussain, Muhammad Mustafa cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Integrated Nanotechnology Lab
    Physical Science and Engineering (PSE) Division
    Sensors Lab
    Date
    2014-11
    Permanent link to this record
    http://hdl.handle.net/10754/563834
    
    Metadata
    Show full item record
    Abstract
    The advantages associated with neuromorphic computation are rich areas of complex research. We address the fabrication challenge of building neuromorphic devices on structurally foldable platform with high integration density. We present a CMOS compatible fabrication process to demonstrate for the first time memristive devices fabricated on bulk monocrystalline silicon (100) which is next transformed into a flexible thin sheet of silicon fabric with all the pre-fabricated devices. This process preserves the ultra-high integration density advantage unachievable on other flexible substrates. In addition, the memristive devices are of the size of a motor neuron and the flexible/folded architectural form factor is critical to match brain cortex's folded pattern for ultra-compact design.
    Citation
    Ghoneim, M. T., Zidan, M. A., Salama, K. N., & Hussain, M. M. (2014). Towards neuromorphic electronics: Memristors on foldable silicon fabric. Microelectronics Journal, 45(11), 1392–1395. doi:10.1016/j.mejo.2014.07.011
    Publisher
    Elsevier BV
    Journal
    Microelectronics Journal
    DOI
    10.1016/j.mejo.2014.07.011
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.mejo.2014.07.011
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Integrated Nanotechnology Lab; Sensors Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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