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      Extremely Low Operating Current Resistive Memory Based on Exfoliated 2D Perovskite Single Crystals for Neuromorphic Computing

      1 , 2 , 1 , 3 , 3 , 2 , 4 , 1
      ACS Nano
      American Chemical Society (ACS)

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          Abstract

          Extremely low energy consumption neuromorphic computing is required to achieve massively parallel information processing on par with the human brain. To achieve this goal, resistive memories based on materials with ionic transport and extremely low operating current are required. Extremely low operating current allows for low power operation by minimizing the program, erase, and read currents. However, materials currently used in resistive memories, such as defective HfOx, AlOx, TaOx, etc., cannot suppress electronic transport (i.e., leakage current) while allowing good ionic transport. Here, we show that 2D Ruddlesden-Popper phase hybrid lead bromide perovskite single crystals are promising materials for low operating current nanodevice applications because of their mixed electronic and ionic transport and ease of fabrication. Ionic transport in the exfoliated 2D perovskite layer is evident via the migration of bromide ions. Filaments with a diameter of approximately 20 nm are visualized, and resistive memories with extremely low program current down to 10 pA are achieved, a value at least 1 order of magnitude lower than conventional materials. The ionic migration and diffusion as an artificial synapse is realized in the 2D layered perovskites at the pA level, which can enable extremely low energy neuromorphic computing.

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          Author and article information

          Journal
          ACS Nano
          ACS Nano
          American Chemical Society (ACS)
          1936-0851
          1936-086X
          October 04 2016
          December 26 2017
          December 11 2017
          December 26 2017
          : 11
          : 12
          : 12247-12256
          Affiliations
          [1 ]Institute of Microelectronics and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing 100084, China
          [2 ]Department of Electrical Engineering, Princeton University, Princeton, New Jersey 08544, United States
          [3 ]Princeton Institute for Science and Technology of Materials, Princeton University, Princeton, New Jersey 08544, United States
          [4 ]Andlinger Center for Energy and the Environment, Princeton University, Princeton, New Jersey 08544, United States
          Article
          10.1021/acsnano.7b05726
          29200259
          ee1c89a4-2881-4048-a4e7-c95ce76b1daa
          © 2017
          History

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