Resistance Drift Reset State and Read Voltage Dependencies in Phase Change Memory

Rivka Galya Nir-Harwood, Mayan Hochler, Einav Yunger, Eilam Yalon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Using Phase-change memory as artificial synapses for neuromorphic computing hardware is severely limited by resistance drift. This drift depends on the initial resistance state, and devices show non-linear I-V characteristics indicating that the PCM resistance also depends on the read voltage. Here we present an electrical characterization methodology to asses these dependencies. We measure 180 reset cycles and perform statistical analysis. Our methodology can be used to better predict drift dependencies, ultimately mitigating it.

Original languageEnglish
Title of host publicationIEEE Electron Devices Technology and Manufacturing Conference
Subtitle of host publicationStrengthening the Globalization in Semiconductors, EDTM 2024
ISBN (Electronic)9798350371529
DOIs
StatePublished - 2024
Event8th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2024 - Bangalore, India
Duration: 3 Mar 20246 Mar 2024

Publication series

NameIEEE Electron Devices Technology and Manufacturing Conference: Strengthening the Globalization in Semiconductors, EDTM 2024

Conference

Conference8th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2024
Country/TerritoryIndia
CityBangalore
Period3/03/246/03/24

Keywords

  • Phase change memory
  • multi-level cells
  • resistance drift

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Instrumentation

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