4.6 Article

Controllable and Stable Quantized Conductance States in a Pt/HfOx/ITO Memristor

期刊

ADVANCED ELECTRONIC MATERIALS
卷 6, 期 2, 页码 -

出版社

WILEY
DOI: 10.1002/aelm.201901055

关键词

atomic point contact; hafnium oxide; memristors; quantized conductance; resistive switching

资金

  1. National Key R&D Program of China [2017YFB0405604]
  2. National Natural Science Foundation of China [61904099, 61722407, 61841404, 61974179, 61674061, 61704178, 61774161, 61674153, 51525103, 61434002]
  3. K. C. Wong Education Foundation [RCZX0800]
  4. Key Laboratory of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences [18CS01]
  5. Natural Science Foundation of Zhejiang Province [LR17E020001]
  6. Ningbo Science and Technology Innovation Team [2015B11001]
  7. Ningbo Natural Science Foundation [2018A610020]

向作者/读者索取更多资源

Quantum-level manipulation of atomic configuration offers a excellent platform for the construction of exotic nanostructures that exhibit unusual solid-state physics and electronic properties. One particular example is the memristor, in which the elaborate evolution of atomic point contact via local ionic processes and consequent stepwise device conductance quantization enable bottom-up design of in-memory computing with greatly increased data storage density and more efficient multi-value logic algorithm. In-depth understanding on the physics of atomic reconfiguration is achieved through comprehensive consideration of the thermodynamics and kinetics of nanoionics in memristors, based on which a general protocol of constructing atomic point contact structure with desired quantized conductance is established. Through energy-driven single-atom level oxygen manipulation in the reset process of a Pt/HfOx/ITO structure, up to 32 consecutive quantized conductance states with an interval of half conductance quantum that can be sustained for over 7000 s and tuned 500 times are demonstrated for the first time, not only allowing the physical implementation of ternary logic-in-memory functions, but also providing a universal methodology for building next-generation quantum electronic devices.

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