Literature DB >> 21572197

Scaling limits of resistive memories.

Victor V Zhirnov1, Roy Meade, Ralph K Cavin, Gurtej Sandhu.   

Abstract

This paper is intended to provide an expository, physics-based, framework for the estimation of the performance potential and physical scaling limits of resistive memory. The approach taken seeks to provide physical insights into those parameters and physical effects that define device performance and scaling properties. The mechanisms of resistive switching are based on atomic rearrangements in a material. The three model cases are: (1) formation of a continuous conductive path between two electrodes within an insulating matrix, (2) formation of a discontinuous path of conductive atoms between two electrodes within an insulating matrix and (3) rearrangement of charged defects/impurities near the interface between the semiconductor matrix and an electrode, resulting in contact resistance changes. The authors argue that these three model mechanisms or their combinations are representative of the operation of all known resistive memories. The central question addressed in this paper is: what is the smallest volume of matter needed for resistive memory? The two related tasks explored in this paper are: (i) resistance changes due to addition or removal of a few atoms and (ii) stability of a few-atom system.

Year:  2011        PMID: 21572197     DOI: 10.1088/0957-4484/22/25/254027

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  8 in total

1.  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

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.  Tailoring resistive switching in Pt/SrTiO3 junctions by stoichiometry control.

Authors:  Evgeny Mikheev; Jinwoo Hwang; Adam P Kajdos; Adam J Hauser; Susanne Stemmer
Journal:  Sci Rep       Date:  2015-06-09       Impact factor: 4.379

5.  Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity.

Authors:  G Pedretti; V Milo; S Ambrogio; R Carboni; S Bianchi; A Calderoni; N Ramaswamy; A S Spinelli; D Ielmini
Journal:  Sci Rep       Date:  2017-07-13       Impact factor: 4.379

6.  Resistive switching and its suppression in Pt/Nb:SrTiO3 junctions.

Authors:  Evgeny Mikheev; Brian D Hoskins; Dmitri B Strukov; Susanne Stemmer
Journal:  Nat Commun       Date:  2014-06-02       Impact factor: 14.919

7.  Geometric conductive filament confinement by nanotips for resistive switching of HfO2-RRAM devices with high performance.

Authors:  Gang Niu; Pauline Calka; Matthias Auf der Maur; Francesco Santoni; Subhajit Guha; Mirko Fraschke; Philippe Hamoumou; Brice Gautier; Eduardo Perez; Christian Walczyk; Christian Wenger; Aldo Di Carlo; Lambert Alff; Thomas Schroeder
Journal:  Sci Rep       Date:  2016-05-16       Impact factor: 4.379

8.  Conductance Quantization in Resistive Random Access Memory.

Authors:  Yang Li; Shibing Long; Yang Liu; Chen Hu; Jiao Teng; Qi Liu; Hangbing Lv; Jordi Suñé; Ming Liu
Journal:  Nanoscale Res Lett       Date:  2015-10-26       Impact factor: 4.703

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.