Literature DB >> 28234422

Confining Cation Injection to Enhance CBRAM Performance by Nanopore Graphene Layer.

Xiaolong Zhao1,2,3, Sen Liu1,3, Jiebin Niu1,3, Lei Liao2, Qi Liu1,3, Xiangheng Xiao2, Hangbing Lv1,3, Shibing Long1,3, Writam Banerjee1,3, Wenqing Li2, Shuyao Si2, Ming Liu1,3.   

Abstract

Conductive-bridge random access memory (CBRAM) is considered a strong contender of the next-generation nonvolatile memory technology. Resistive switching (RS) behavior in CBRAM is decided by the formation/dissolution of nanoscale conductive filament (CF) inside RS layer based on the cation injection from active electrode and their electrochemical reactions. Remarkably, RS is actually a localized behavior, however, cation injects from the whole area of active electrode into RS layer supplying excessive cation beyond the requirement of CF formation, leading to deterioration of device uniformity and reliability. Here, an effective method is proposed to localize cation injection into RS layer through the nanohole of inserted ion barrier between active electrode and RS layer. Taking an impermeable monolayer graphene as ion barrier, conductive atomic force microscopy results directly confirm that CF formation is confined through the nanohole of graphene due to the localized cation injection. Compared with the typical Cu/HfO2 /Pt CBRAM device, the novel Cu/nanohole-graphene/HfO2 /Pt device shows improvement of uniformity, endurance, and retention characteristics, because the cation injection is limited by the nanohole graphene. Scaling the nanohole of ion barrier down to several nanometers, the single-CF-based CBRAM device with high performance is expected to achieve by confining the cation injection at the atomic scale.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  conductive filaments; conductive-bridge random access memory; electrochemical metallization effect; graphene; ion barriers

Year:  2017        PMID: 28234422     DOI: 10.1002/smll.201603948

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   13.281


  4 in total

1.  All WSe2 1T1R resistive RAM cell for future monolithic 3D embedded memory integration.

Authors:  Maheswari Sivan; Yida Li; Hasita Veluri; Yunshan Zhao; Baoshan Tang; Xinghua Wang; Evgeny Zamburg; Jin Feng Leong; Jessie Xuhua Niu; Umesh Chand; Aaron Voon-Yew Thean
Journal:  Nat Commun       Date:  2019-11-15       Impact factor: 14.919

2.  Transformation of threshold volatile switching to quantum point contact originated nonvolatile switching in graphene interface controlled memory devices.

Authors:  Zuheng Wu; Xiaolong Zhao; Yang Yang; Wei Wang; Xumeng Zhang; Rui Wang; Rongrong Cao; Qi Liu; Writam Banerjee
Journal:  Nanoscale Adv       Date:  2019-08-06

3.  Customized binary and multi-level HfO2-x-based memristors tuned by oxidation conditions.

Authors:  Weifan He; Huajun Sun; Yaxiong Zhou; Ke Lu; Kanhao Xue; Xiangshui Miao
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

4.  Reliable multilevel memristive neuromorphic devices based on amorphous matrix via quasi-1D filament confinement and buffer layer.

Authors:  Sang Hyun Choi; See-On Park; Seokho Seo; Shinhyun Choi
Journal:  Sci Adv       Date:  2022-01-21       Impact factor: 14.136

  4 in total

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