Published December 21, 2015
| Version v1
Journal article
A stochastic simulation method for the assessment of resistive random access memory retention reliability
Creators
- 1. Department of Electronics Engineering and Institute of Electronics, National Chiao Tung University, Hsinchu 300, Taiwan (China)
Description
This study presents an evaluation method for resistive random access memory retention reliability based on the Metropolis Monte Carlo algorithm and Gibbs free energy. The method, which does not rely on a time evolution, provides an extremely efficient way to compare the relative retention properties of metal-insulator-metal structures. It requires a small number of iterations and may be used for statistical analysis. The presented approach is used to compare the relative robustness of a single layer ZrO2 device with a double layer ZnO/ZrO2 one, and obtain results which are in good agreement with experimental data
Additional details
Identifiers
- DOI
- 10.1063/1.4938210;
Publishing Information
- Journal Title
- Applied Physics Letters
- Journal Volume
- 107
- Journal Issue
- 25
- Journal Page Range
- p. 253504-253504.4
- ISSN
- 0003-6951
- CODEN
- APPLAB
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47056270
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- ALGORITHMS; FREE ENTHALPY; METALS; MONTE CARLO METHOD; RELIABILITY; STOCHASTIC PROCESSES; ZINC OXIDES; ZIRCONIUM OXIDES
- Descriptors DEC
- CALCULATION METHODS; CHALCOGENIDES; ELEMENTS; ENERGY; MATHEMATICAL LOGIC; OXIDES; OXYGEN COMPOUNDS; PHYSICAL PROPERTIES; THERMODYNAMIC PROPERTIES; TRANSITION ELEMENT COMPOUNDS; ZINC COMPOUNDS; ZIRCONIUM COMPOUNDS
Optional Information
- Notes
- (c) 2015 AIP Publishing LLC