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Understanding and Optimization of Pulsed SET Operation in HfOx-Based RRAM Devices for Neuromorphic Computing Applications

  • Andrea Padovani
  • , Jiyong Woo
  • , Hyunsang Hwang
  • , Luca Larcher
  • MDLab S.r.l.
  • MDLSoft Inc.
  • Pohang University of Science and Technology
  • University of Modena and Reggio Emilia

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

We use experiments and device simulations to investigate pulsed SET operation of HfO2-based RRAM devices for their possible use as electronic synapses. The application of a train of identical pulses only allows for an abrupt change of the device current, which is not suitable for synaptic devices. By using simulations, we link the microscopic properties and changes of the conductive filament during the pulsed operation to the measured conductance and its dependence on pulse voltage, width, and number. The results allow us to derive guidelines that we use to design optimized SET pulses (or pulse trains) allowing extending the conventional binary operation of HfO2-based RRAMs to the multi-level cell operation required by electronic synapses.

Original languageEnglish
Pages (from-to)672-675
Number of pages4
JournalIEEE Electron Device Letters
Volume39
Issue number5
DOIs
StatePublished - May 2018

Keywords

  • device simulations
  • Electronic synapse
  • HfO
  • resistive random access memory (RRAM)

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