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Graphite-based selectorless RRAM: improvable intrinsic nonlinearity for array applications.
Chen, Ying-Chen; Hu, Szu-Tung; Lin, Chih-Yang; Fowler, Burt; Huang, Hui-Chun; Lin, Chao-Cheng; Kim, Sungjun; Chang, Yao-Feng; Lee, Jack C.
Afiliación
  • Chen YC; Microelectronics Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78758, USA. yingchenchen@utexas.edu.
Nanoscale ; 10(33): 15608-15614, 2018 Aug 23.
Article en En | MEDLINE | ID: mdl-30090909
ABSTRACT
Selectorless graphite-based resistive random-access memory (RRAM) has been demonstrated by utilizing the intrinsic nonlinear resistive switching (RS) characteristics, without an additional selector or transistor for low-power RRAM array application. The low effective dielectric constant value (k) layer of graphite or graphite oxide is utilized, which is beneficial in suppressing sneak-path currents in the crossbar RRAM array. The tail-bits with low nonlinearity can be manipulated by the positive voltage pulse, which in turn can alleviate variability and reliability issues. Our results provide additional insights for built-in nonlinearity in 1R-only selectorless RRAMs, which are applicable to the low-power memory array, ultrahigh density storage, and in-memory neuromorphic computational configurations.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nanoscale Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nanoscale Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos