4.8 Article

Charge Transition of Oxygen Vacancies during Resistive Switching in Oxide-Based RRAM

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 11, Issue 12, Pages 11579-11586

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.8b18386

Keywords

RRAM; charge transition; vacancy interaction; Ta2O5; light illumination

Funding

  1. National Science Foundation (NSF) [ECCS-0954621, DMR-1810119]
  2. Rackham Predoctoral Fellowship
  3. National Science Foundation [DMR-1810119]
  4. Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]

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Resistive random-access memory (RRAM) devices have attracted broad interest as promising building blocks for high-density nonvolatile memory and neuromorphic computing applications. Atomic level thermodynamic and kinetic descriptions of resistive switching (RS) processes are essential for continued device design and optimization but are relatively lacking for oxide-based RRAMs. It is generally accepted that RS occurs due to the redistribution of charged oxygen vacancies driven by an external electric field. However, this assumption contradicts the experimentally observed stable filaments, where the high vacancy concentration should lead to a strong Coulomb repulsion and filament instability. In this work, through predictive atomistic calculations in combination with experimental measurements, we attempt to understand the interactions between oxygen vacancies and the microscopic processes that are required for stable RS in a Ta2O5-based RRAM. We propose a model based on a series of charge transition processes that explains the drift and aggregation of vacancies during RS. The model was validated by experimental measurements where illuminated devices exhibit accelerated RS behaviors during SET and RESET. The activation energies of ion migration and charge transition were further experimentally determined through a transient current measurement, consistent with the modeling results. Our results help provide comprehensive understanding on the internal dynamics of RS and will benefit device optimization and applications.

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