Literature DB >> 23946217

Logic computation in phase change materials by threshold and memory switching.

M Cassinerio1, N Ciocchini, D Ielmini.   

Abstract

Memristors, namely hysteretic devices capable of changing their resistance in response to applied electrical stimuli, may provide new opportunities for future memory and computation, thanks to their scalable size, low switching energy and nonvolatile nature. We have developed a functionally complete set of logic functions including NOR, NAND and NOT gates, each utilizing a single phase-change memristor (PCM) where resistance switching is due to the phase transformation of an active chalcogenide material. The logic operations are enabled by the high functionality of nanoscale phase change, featuring voltage comparison, additive crystallization and pulse-induced amorphization. The nonvolatile nature of memristive states provides the basis for developing reconfigurable hybrid logic/memory circuits featuring low-power and high-speed switching.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  boolean logic; memristors; non-volatile logic; non-volatile storage; phase change materials

Mesh:

Year:  2013        PMID: 23946217     DOI: 10.1002/adma.201301940

Source DB:  PubMed          Journal:  Adv Mater        ISSN: 0935-9648            Impact factor:   30.849


  8 in total

1.  Ultrafast phase-change logic device driven by melting processes.

Authors:  Desmond Loke; Jonathan M Skelton; Wei-Jie Wang; Tae-Hoon Lee; Rong Zhao; Tow-Chong Chong; Stephen R Elliott
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-02       Impact factor: 11.205

2.  Dual-functional Memory and Threshold Resistive Switching Based on the Push-Pull Mechanism of Oxygen Ions.

Authors:  Yi-Jen Huang; Shih-Chun Chao; Der-Hsien Lien; Cheng-Yen Wen; Jr-Hau He; Si-Chen Lee
Journal:  Sci Rep       Date:  2016-04-07       Impact factor: 4.379

3.  Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses.

Authors:  Stefano Ambrogio; Nicola Ciocchini; Mario Laudato; Valerio Milo; Agostino Pirovano; Paolo Fantini; Daniele Ielmini
Journal:  Front Neurosci       Date:  2016-03-08       Impact factor: 4.677

4.  Redefining the Speed Limit of Phase Change Memory Revealed by Time-resolved Steep Threshold-Switching Dynamics of AgInSbTe Devices.

Authors:  Krishna Dayal Shukla; Nishant Saxena; Suresh Durai; Anbarasu Manivannan
Journal:  Sci Rep       Date:  2016-11-25       Impact factor: 4.379

Review 5.  Application of phase-change materials in memory taxonomy.

Authors:  Lei Wang; Liang Tu; Jing Wen
Journal:  Sci Technol Adv Mater       Date:  2017-06-13       Impact factor: 8.090

6.  Mixed-Precision Deep Learning Based on Computational Memory.

Authors:  S R Nandakumar; Manuel Le Gallo; Christophe Piveteau; Vinay Joshi; Giovanni Mariani; Irem Boybat; Geethan Karunaratne; Riduan Khaddam-Aljameh; Urs Egger; Anastasios Petropoulos; Theodore Antonakopoulos; Bipin Rajendran; Abu Sebastian; Evangelos Eleftheriou
Journal:  Front Neurosci       Date:  2020-05-12       Impact factor: 4.677

7.  Bipolar switching in chalcogenide phase change memory.

Authors:  N Ciocchini; M Laudato; M Boniardi; E Varesi; P Fantini; A L Lacaita; D Ielmini
Journal:  Sci Rep       Date:  2016-07-05       Impact factor: 4.379

8.  Graphene/h-BN Heterostructures for Vertical Architecture of RRAM Design.

Authors:  Yi-Jen Huang; Si-Chen Lee
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

  8 in total

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