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Controllability of the Conductive Filament in Porous SiOx Memristors by Humidity-Mediated Silver Ion Migration.
Li, Haoze; Gao, Qin; Gao, Juan; Huang, Jiangshun; Geng, Xueli; Wang, Guoxing; Liang, Bo; Li, Xinghe; Wang, Mei; Xiao, Zhisong; Chu, Paul K; Huang, Anping.
Afiliación
  • Li H; School of Physics, Beihang University, Beijing 100191, China.
  • Gao Q; School of Physics and School of Chemistry, Beihang University, Beijing 100191, China.
  • Gao J; School of Physics, Beihang University, Beijing 100191, China.
  • Huang J; School of Physics, Beihang University, Beijing 100191, China.
  • Geng X; School of Physics, Beihang University, Beijing 100191, China.
  • Wang G; School of Physics, Beihang University, Beijing 100191, China.
  • Liang B; School of Physics, Beihang University, Beijing 100191, China.
  • Li X; School of Physics, Beihang University, Beijing 100191, China.
  • Wang M; School of Physics, Beihang University, Beijing 100191, China.
  • Xiao Z; School of Physics, Beihang University, Beijing 100191, China.
  • Chu PK; Department of Physics, Department of Materials Science and Engineering, and Department of Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong 999077, China.
  • Huang A; School of Physics, Beihang University, Beijing 100191, China.
ACS Appl Mater Interfaces ; 15(39): 46449-46459, 2023 Oct 04.
Article en En | MEDLINE | ID: mdl-37738541
Oxide-based memristors composed of Ag/porous SiOx/Si stacks are fabricated using different etching time durations between 0 and 90 s, and the memristive properties are analyzed in the relative humidity (RH) range of 30-60%. The combination of humidity and porous structure provides binding sites to control silver filament formation with a confined nanoscale channel. The memristive properties of devices show high on/off ratios up to 108 and a dispersion coefficient of 0.1% of the high resistance state (CHRS) when the RH increases to 60%. Humidity-mediated silver ion migration in the porous SiOx memristors is investigated, and the mechanism leading to the synergistic effects between the porous structure and environmental humidity is elucidated. The artificial neural network constructed theoretically shows that the recognition rate increases from 60.9 to 85.29% in the RH range of 30-60%. The results and theoretical understanding provide insights into the design and optimization of oxide-based memristors in neuromorphic computing applications.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: ACS Appl Mater Interfaces Asunto de la revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: ACS Appl Mater Interfaces Asunto de la revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article País de afiliación: China