Literature DB >> 19113891

Programmable resistance switching in nanoscale two-terminal devices.

Sung Hyun Jo1, Kuk-Hwan Kim, Wei Lu.   

Abstract

We show that in nanoscale two-terminal resistive switches the resistance switching can be dominated by the formation of a single conductive filament. The probabilistic filament formation process strongly affects the device operation principle, and can be programmed to facilitate new functionalities such as multibit switching with partially formed filaments. In addition, the nanoscale switches exhibit excellent performance metrics making them well suited for memory or logic operations using conventional or emerging hybrid nano/CMOS architectures.

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Mesh:

Year:  2009        PMID: 19113891     DOI: 10.1021/nl803669s

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  12 in total

1.  Observation of conducting filament growth in nanoscale resistive memories.

Authors:  Yuchao Yang; Peng Gao; Siddharth Gaba; Ting Chang; Xiaoqing Pan; Wei Lu
Journal:  Nat Commun       Date:  2012-03-13       Impact factor: 14.919

2.  Atomic origin of ultrafast resistance switching in nanoscale electrometallization cells.

Authors:  Nicolas Onofrio; David Guzman; Alejandro Strachan
Journal:  Nat Mater       Date:  2015-03-02       Impact factor: 43.841

3.  Memristive devices for computing.

Authors:  J Joshua Yang; Dmitri B Strukov; Duncan R Stewart
Journal:  Nat Nanotechnol       Date:  2013-01       Impact factor: 39.213

4.  Finding a roadmap to achieve large neuromorphic hardware systems.

Authors:  Jennifer Hasler; Bo Marr
Journal:  Front Neurosci       Date:  2013-09-10       Impact factor: 4.677

5.  Reliability characteristics and conduction mechanisms in resistive switching memory devices using ZnO thin films.

Authors:  Fu-Chien Chiu; Peng-Wei Li; Wen-Yuan Chang
Journal:  Nanoscale Res Lett       Date:  2012-03-08       Impact factor: 4.703

6.  Low-energy Resistive Random Access Memory Devices with No Need for a Compliance Current.

Authors:  Zedong Xu; Lina Yu; Yong Wu; Chang Dong; Ning Deng; Xiaoguang Xu; J Miao; Yong Jiang
Journal:  Sci Rep       Date:  2015-05-18       Impact factor: 4.379

7.  A compound memristive synapse model for statistical learning through STDP in spiking neural networks.

Authors:  Johannes Bill; Robert Legenstein
Journal:  Front Neurosci       Date:  2014-12-16       Impact factor: 4.677

8.  Programmable electronic synapse and nonvolatile resistive switches using MoS2 quantum dots.

Authors:  Anna Thomas; A N Resmi; Akash Ganguly; K B Jinesh
Journal:  Sci Rep       Date:  2020-07-24       Impact factor: 4.379

9.  Dynamic-load-enabled ultra-low power multiple-state RRAM devices.

Authors:  Xiang Yang; I-Wei Chen
Journal:  Sci Rep       Date:  2012-10-17       Impact factor: 4.379

10.  A Silk Fibroin Bio-Transient Solution Processable Memristor.

Authors:  Jason Yong; Basem Hassan; You Liang; Kumaravelu Ganesan; Ranjith Rajasekharan; Robin Evans; Gary Egan; Omid Kavehei; Jingliang Li; Gursharan Chana; Babak Nasr; Efstratios Skafidas
Journal:  Sci Rep       Date:  2017-11-07       Impact factor: 4.379

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