75 / 2020-03-31 19:44:22
MXene/SiO2 Structure-based RRAM devices for the Application of Neuromorphic Computing
resistance switching memory (RRAM),MXene,Neuromorphic computing
Final Paper
XIAOJUAN LIAN / Nanjing University of Posts and Telecommunications
A two-dimensional (2D) material MXene (Ti3C2) has been investigated in details. Our RRAM devices, based on the Cu/MXene/SiO2/W structure, exhibit excellent switching performances compared with traditional devices. The impact of the 2D MXene material on the SiO2-based RRAM devices was investigated by the physical characterization of the MXene and first-principles calculation. Furthermore, synaptic plasticity, such as long-term plasticity and paired-pulse facilitation characteristics have been successfully achieved using high performance Cu/MXene/SiO2/W devices.
Important Date
  • Conference Date

    Jul 10

    2021

    to

    Jul 12

    2021

  • May 10 2021

    Draft paper submission deadline

  • Jul 06 2021

    Registration deadline

Sponsored By
Changsha University of Science & Technology
Supported By
IEEE Electron Devices Society
IEEE
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