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Room-Temperature Fabricated Multilevel Nonvolatile Lead-Free Cesium Halide Memristors for Reconfigurable In-Memory Computing.
Su, Tsung-Kai; Cheng, Wei-Kai; Chen, Cheng-Yueh; Wang, Wei-Chun; Chuang, Yung-Tang; Tan, Guang-Hsun; Lin, Hao-Cheng; Hou, Cheng-Hung; Liu, Ching-Min; Chang, Ya-Chu; Shyue, Jing-Jong; Wu, Kai-Chiang; Lin, Hao-Wu.
Afiliação
  • Su TK; Department of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
  • Cheng WK; Department of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
  • Chen CY; Department of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
  • Wang WC; Department of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
  • Chuang YT; Department of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
  • Tan GH; Department of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
  • Lin HC; Department of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
  • Hou CH; Research Center for Applied Science Academia Sinica, Taipei 11529, Taiwan.
  • Liu CM; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Chang YC; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Shyue JJ; Research Center for Applied Science Academia Sinica, Taipei 11529, Taiwan.
  • Wu KC; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Lin HW; Department of Materials Science and Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
ACS Nano ; 16(8): 12979-12990, 2022 Aug 23.
Article em En | MEDLINE | ID: mdl-35815946
ABSTRACT
Recently, conductive-bridging memristors based on metal halides, such as halide perovskites, have been demonstrated as promising components for brain-inspired hardware-based neuromorphic computing. However, realizing devices that simultaneously fulfill all of the key merits (low operating voltage, high dynamic range, multilevel nonvolatile storage capability, and good endurance) remains a great challenge. Herein, we describe lead-free cesium halide memristors incorporating a MoOX interfacial layer as a type of conductive-bridging memristor. With this design, we obtained highly uniform and reproducible memristors that exhibited all-around resistive switching characteristics ultralow operating voltages (<0.18 V), low variations (<30 mV), long retention times (>106 s), high endurance (>105, full on/off cycles), record-high on/off ratios (>1010, smaller devices having areas <5 × 10-4 mm2), fast switching (<200 ns), and multilevel programming abilities (>64 states). With these memristors, we successfully implemented stateful logic functions in a reconfigurable architecture and accomplished a high classification accuracy (ca. 90%) in the simulated hand-written-digits classification task, suggesting their versatility in future in-memory computing applications. In addition, we exploited the room-temperature fabrication of the devices to construct a fully functional three-dimensional stack of memristors, which demonstrates their potential of high-density integration desired for data-intensive neuromorphic computing. High-performance, environmentally friendly cesium halide memristors provide opportunities toward next-generation electronics beyond von Neumann architectures.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ACS Nano Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ACS Nano Ano de publicação: 2022 Tipo de documento: Article