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Controllable high-performance memristors based on 2D Fe2GeTe3oxide for biological synapse imitation.
Zeng, Xiangyu; Huang, Shuyi; Ye, Qikai; Rajagopalan, Pandey; Li, Wei; Kuang, Haoze; Ye, Ge; Chen, Chufan; Li, Menglu; Liu, Yulu; Shi, Lin; Guo, Yuzheng; Lu, Xin; Shi, Wenhua; Luo, Jikui; Wang, Xiaozhi.
Afiliação
  • Zeng X; College of Information Science and Electronic Engineering, Hangzhou 310027, People's Republic of China.
  • Huang S; College of Information Science and Electronic Engineering, Hangzhou 310027, People's Republic of China.
  • Ye Q; College of Information Science and Electronic Engineering, Hangzhou 310027, People's Republic of China.
  • Rajagopalan P; College of Information Science and Electronic Engineering, Hangzhou 310027, People's Republic of China.
  • Li W; College of Information Science and Electronic Engineering, Hangzhou 310027, People's Republic of China.
  • Kuang H; College of Information Science and Electronic Engineering, Hangzhou 310027, People's Republic of China.
  • Ye G; Center for correlated matter and Department of Physics, Zhejiang University, Hangzhou 310027, People's Republic of China.
  • Chen C; Center for correlated matter and Department of Physics, Zhejiang University, Hangzhou 310027, People's Republic of China.
  • Li M; College of Information Science and Electronic Engineering, Hangzhou 310027, People's Republic of China.
  • Liu Y; College of Information Science and Electronic Engineering, Hangzhou 310027, People's Republic of China.
  • Shi L; College of Information Science and Electronic Engineering, Hangzhou 310027, People's Republic of China.
  • Guo Y; School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, People's Republic of China.
  • Lu X; Center for correlated matter and Department of Physics, Zhejiang University, Hangzhou 310027, People's Republic of China.
  • Shi W; Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, People's Republic of China.
  • Luo J; College of Information Science and Electronic Engineering, Hangzhou 310027, People's Republic of China.
  • Wang X; College of Information Science and Electronic Engineering, Hangzhou 310027, People's Republic of China.
Nanotechnology ; 32(32)2021 May 19.
Article em En | MEDLINE | ID: mdl-33930891
ABSTRACT
Memristors are an important component of the next-generation artificial neural network, high computing systems, etc. In the past, two-dimensional materials based memristors have achieved a high performance and low power consumption, though one at the cost of the other. Furthermore, their performance can not be modulated frequently once their structures are fixed, which remains the bottleneck in the development. Herein, a series of forming free memristors are fabricated with the same Cu/Fe3GeTe2oxide/Fe3GeTe2/Al structure, yet the On/Off ratio and set voltage is modulated continuously by varying the oxidation time during fabrication. With an optimal oxidation time, a large On/Off ratio (1.58 × 103) and low set voltage (0.74 V) is achieved in a single device. The formation and rapture of Al conductive filaments are found to be responsible for the memristors, and the filaments density and the cross-section area increase with the increase of current compliance, which achieves a higher On/Off ratio. The memristor can imitate basic biological synaptic functions using voltage pulses, demonstrating the potential for low-power consuming neuromorphic computing applications.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Telúrio / Redes Neurais de Computação / Materiais Biomiméticos / Eletrônica / Germânio / Ferro Limite: Animals / Humans Idioma: En Revista: Nanotechnology Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Telúrio / Redes Neurais de Computação / Materiais Biomiméticos / Eletrônica / Germânio / Ferro Limite: Animals / Humans Idioma: En Revista: Nanotechnology Ano de publicação: 2021 Tipo de documento: Article