Literature DB >> 19206536

High-density crossbar arrays based on a Si memristive system.

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

Abstract

We demonstrate large-scale (1 kb) high-density crossbar arrays using a Si-based memristive system. A two-terminal hysteretic resistive switch (memristive device) is formed at each crosspoint of the array and can be addressed with high yield and ON/OFF ratio. The crossbar array can be implemented as either a resistive random-access-memory (RRAM) or a write-once type memory depending on the device configuration. The demonstration of large-scale crossbar arrays with excellent reproducibility and reliability also facilitates further studies on hybrid nano/CMOS systems.

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Year:  2009        PMID: 19206536     DOI: 10.1021/nl8037689

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


  24 in total

1.  Solid-state memories based on ferroelectric tunnel junctions.

Authors:  André Chanthbouala; Arnaud Crassous; Vincent Garcia; Karim Bouzehouane; Stéphane Fusil; Xavier Moya; Julie Allibe; Bruno Dlubak; Julie Grollier; Stéphane Xavier; Cyrile Deranlot; Amir Moshar; Roger Proksch; Neil D Mathur; Manuel Bibes; Agnès Barthélémy
Journal:  Nat Nanotechnol       Date:  2011-12-04       Impact factor: 39.213

2.  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

3.  Ultrahigh density array of vertically aligned small-molecular organic nanowires on arbitrary substrates.

Authors:  Ryan Starko-Bowes; Sandipan Pramanik
Journal:  J Vis Exp       Date:  2013-06-18       Impact factor: 1.355

Review 4.  Rotaxane nanomachines in future molecular electronics.

Authors:  Peiqiao Wu; Bhushan Dharmadhikari; Prabir Patra; Xingguo Xiong
Journal:  Nanoscale Adv       Date:  2022-06-24

5.  On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex.

Authors:  Carlos Zamarreño-Ramos; Luis A Camuñas-Mesa; Jose A Pérez-Carrasco; Timothée Masquelier; Teresa Serrano-Gotarredona; Bernabé Linares-Barranco
Journal:  Front Neurosci       Date:  2011-03-17       Impact factor: 4.677

6.  Application of nanomaterials in two-terminal resistive-switching memory devices.

Authors:  Jianyong Ouyang
Journal:  Nano Rev       Date:  2010-05-26

7.  Electronic system with memristive synapses for pattern recognition.

Authors:  Sangsu Park; Myonglae Chu; Jongin Kim; Jinwoo Noh; Moongu Jeon; Byoung Hun Lee; Hyunsang Hwang; Boreom Lee; Byung-geun Lee
Journal:  Sci Rep       Date:  2015-05-05       Impact factor: 4.379

8.  Enabling an integrated rate-temporal learning scheme on memristor.

Authors:  Wei He; Kejie Huang; Ning Ning; Kiruthika Ramanathan; Guoqi Li; Yu Jiang; Jiayin Sze; Luping Shi; Rong Zhao; Jing Pei
Journal:  Sci Rep       Date:  2014-04-23       Impact factor: 4.379

9.  STDP and STDP variations with memristors for spiking neuromorphic learning systems.

Authors:  T Serrano-Gotarredona; T Masquelier; T Prodromakis; G Indiveri; B Linares-Barranco
Journal:  Front Neurosci       Date:  2013-02-18       Impact factor: 4.677

10.  AHaH computing-from metastable switches to attractors to machine learning.

Authors:  Michael Alexander Nugent; Timothy Wesley Molter
Journal:  PLoS One       Date:  2014-02-10       Impact factor: 3.240

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