Nanoscale Research Letters (Jun 2017)

Retention Model of TaO/HfO x and TaO/AlO x RRAM with Self-Rectifying Switch Characteristics

  • Yu-De Lin,
  • Pang-Shiu Chen,
  • Heng-Yuan Lee,
  • Yu-Sheng Chen,
  • Sk. Ziaur Rahaman,
  • Kan-Hsueh Tsai,
  • Chien-Hua Hsu,
  • Wei-Su Chen,
  • Pei-Hua Wang,
  • Ya-Chin King,
  • Chrong Jung Lin

DOI
https://doi.org/10.1186/s11671-017-2179-5
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 6

Abstract

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Abstract A retention behavior model for self-rectifying TaO/HfO x - and TaO/AlO x -based resistive random-access memory (RRAM) is proposed. Trapping-type RRAM can have a high resistance state (HRS) and a low resistance state (LRS); the degradation in a LRS is usually more severe than that in a HRS, because the LRS during the SET process is limited by the internal resistor layer. However, if TaO/AlO x elements are stacked in layers, the LRS retention can be improved. The LRS retention time estimated by extrapolation method is more than 5 years at room temperature. Both TaO/HfO x - and TaO/AlO x -based RRAM structures have the same capping layer of TaO, and the activation energy levels of both types of structures are 0.38 eV. Moreover, the additional AlO x switching layer of a TaO/AlO x structure creates a higher O diffusion barrier that can substantially enhance retention, and the TaO/AlO x structure also shows a quite stable LRS under biased conditions.

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