Literature DB >> 23269430

Memristive devices for computing.

J Joshua Yang1, Dmitri B Strukov, Duncan R Stewart.   

Abstract

Memristive devices are electrical resistance switches that can retain a state of internal resistance based on the history of applied voltage and current. These devices can store and process information, and offer several key performance characteristics that exceed conventional integrated circuit technology. An important class of memristive devices are two-terminal resistance switches based on ionic motion, which are built from a simple conductor/insulator/conductor thin-film stack. These devices were originally conceived in the late 1960s and recent progress has led to fast, low-energy, high-endurance devices that can be scaled down to less than 10 nm and stacked in three dimensions. However, the underlying device mechanisms remain unclear, which is a significant barrier to their widespread application. Here, we review recent progress in the development and understanding of memristive devices. We also examine the performance requirements for computing with memristive devices and detail how the outstanding challenges could be met.

Year:  2013        PMID: 23269430     DOI: 10.1038/nnano.2012.240

Source DB:  PubMed          Journal:  Nat Nanotechnol        ISSN: 1748-3387            Impact factor:   39.213


  61 in total

Review 1.  CrossNets: high-performance neuromorphic architectures for CMOL circuits.

Authors:  Konstantin Likharev; Andreas Mayr; Ibrahim Muckra; Ozgür Türel
Journal:  Ann N Y Acad Sci       Date:  2003-12       Impact factor: 5.691

2.  A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications.

Authors:  Kuk-Hwan Kim; Siddharth Gaba; Dana Wheeler; Jose M Cruz-Albrecht; Tahir Hussain; Narayan Srinivasa; Wei Lu
Journal:  Nano Lett       Date:  2011-12-09       Impact factor: 11.189

3.  Memristive tri-stable resistive switching at ruptured conducting filaments of a Pt/TiO₂/Pt cell.

Authors:  Kyung Jean Yoon; Min Hwan Lee; Gun Hwan Kim; Seul Ji Song; Jun Yeong Seok; Sora Han; Jung Ho Yoon; Kyung Min Kim; Cheol Seong Hwang
Journal:  Nanotechnology       Date:  2012-04-20       Impact factor: 3.874

4.  Anatomy of a nanoscale conduction channel reveals the mechanism of a high-performance memristor.

Authors:  Feng Miao; John Paul Strachan; J Joshua Yang; Min-Xian Zhang; Ilan Goldfarb; Antonio C Torrezan; Peter Eschbach; Ronald D Kelley; Gilberto Medeiros-Ribeiro; R Stanley Williams
Journal:  Adv Mater       Date:  2011-11-08       Impact factor: 30.849

5.  Electric-field-induced resistive switching in a family of mott insulators: Towards a new class of RRAM memories.

Authors:  Laurent Cario; Cristian Vaju; Benoit Corraze; Vincent Guiot; Etienne Janod
Journal:  Adv Mater       Date:  2010-12-01       Impact factor: 30.849

6.  Four-dimensional address topology for circuits with stacked multilayer crossbar arrays.

Authors:  Dmitri B Strukov; R Stanley Williams
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-16       Impact factor: 11.205

7.  A size-dependent nanoscale metal-insulator transition in random materials.

Authors:  Albert B K Chen; Soo Gil Kim; Yudi Wang; Wei-Shao Tung; I-Wei Chen
Journal:  Nat Nanotechnol       Date:  2011-02-27       Impact factor: 39.213

8.  Oxide double-layer nanocrossbar for ultrahigh-density bipolar resistive memory.

Authors:  Seo Hyoung Chang; Shin Buhm Lee; Dae Young Jeon; So Jung Park; Gyu Tae Kim; Sang Mo Yang; Seung Chul Chae; Hyang Keun Yoo; Bo Soo Kang; Myoung-Jae Lee; Tae Won Noh
Journal:  Adv Mater       Date:  2011-08-02       Impact factor: 30.849

9.  Memristive switching mechanism for metal/oxide/metal nanodevices.

Authors:  J Joshua Yang; Matthew D Pickett; Xuema Li; Douglas A A Ohlberg; Duncan R Stewart; R Stanley Williams
Journal:  Nat Nanotechnol       Date:  2008-06-15       Impact factor: 39.213

10.  In situ imaging of the conducting filament in a silicon oxide resistive switch.

Authors:  Jun Yao; Lin Zhong; Douglas Natelson; James M Tour
Journal:  Sci Rep       Date:  2012-01-31       Impact factor: 4.379

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  223 in total

1.  Training and operation of an integrated neuromorphic network based on metal-oxide memristors.

Authors:  M Prezioso; F Merrikh-Bayat; B D Hoskins; G C Adam; K K Likharev; D B Strukov
Journal:  Nature       Date:  2015-05-07       Impact factor: 49.962

2.  Voltage-controlled domain wall traps in ferromagnetic nanowires.

Authors:  Uwe Bauer; Satoru Emori; Geoffrey S D Beach
Journal:  Nat Nanotechnol       Date:  2013-05-26       Impact factor: 39.213

3.  Nanoscale memristive radiofrequency switches.

Authors:  Shuang Pi; Mohammad Ghadiri-Sadrabadi; Joseph C Bardin; Qiangfei Xia
Journal:  Nat Commun       Date:  2015-06-25       Impact factor: 14.919

4.  Associative memory realized by a reconfigurable memristive Hopfield neural network.

Authors:  S G Hu; Y Liu; Z Liu; T P Chen; J J Wang; Q Yu; L J Deng; Y Yin; Sumio Hosaka
Journal:  Nat Commun       Date:  2015-06-25       Impact factor: 14.919

5.  Magneto-ionic control of interfacial magnetism.

Authors:  Uwe Bauer; Lide Yao; Aik Jun Tan; Parnika Agrawal; Satoru Emori; Harry L Tuller; Sebastiaan van Dijken; Geoffrey S D Beach
Journal:  Nat Mater       Date:  2014-11-17       Impact factor: 43.841

6.  Layered memristive and memcapacitive switches for printable electronics.

Authors:  Alexander A Bessonov; Marina N Kirikova; Dmitrii I Petukhov; Mark Allen; Tapani Ryhänen; Marc J A Bailey
Journal:  Nat Mater       Date:  2014-11-10       Impact factor: 43.841

7.  Operando characterization of conductive filaments during resistive switching in Mott VO2.

Authors:  Shaobo Cheng; Min-Han Lee; Xing Li; Lorenzo Fratino; Federico Tesler; Myung-Geun Han; Javier Del Valle; R C Dynes; Marcelo J Rozenberg; Ivan K Schuller; Yimei Zhu
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-02       Impact factor: 11.205

8.  Sparse coding with memristor networks.

Authors:  Patrick M Sheridan; Fuxi Cai; Chao Du; Wen Ma; Zhengya Zhang; Wei D Lu
Journal:  Nat Nanotechnol       Date:  2017-05-22       Impact factor: 39.213

9.  Giant switchable photovoltaic effect in organometal trihalide perovskite devices.

Authors:  Zhengguo Xiao; Yongbo Yuan; Yuchuan Shao; Qi Wang; Qingfeng Dong; Cheng Bi; Pankaj Sharma; Alexei Gruverman; Jinsong Huang
Journal:  Nat Mater       Date:  2014-12-08       Impact factor: 43.841

10.  Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition.

Authors:  Johannes Bill; Lars Buesing; Stefan Habenschuss; Bernhard Nessler; Wolfgang Maass; Robert Legenstein
Journal:  PLoS One       Date:  2015-08-18       Impact factor: 3.240

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