Arithmetic and Biologically-Inspired Computing Using Phase-Change Materials

被引:218
|
作者
Wright, C. David [1 ]
Liu, Yanwei [2 ]
Kohary, Krisztian I. [1 ]
Aziz, Mustafa M. [1 ]
Hicken, Robert J. [2 ]
机构
[1] Univ Exeter, Sch Engn Comp & Math, Exeter EX4 4QF, Devon, England
[2] Univ Exeter, Sch Phys, Exeter EX4 4QF, Devon, England
基金
英国工程与自然科学研究理事会;
关键词
GE2SB2TE5;
D O I
10.1002/adma.201101060
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Phase-change materials offer a promising route for the practical realisation of new forms of general-purpose and 'brain-like' computers. An experimental proof-of-principle of such remakable capabilities is presented that includes (i) the reliable execution by a phase-change 'processor' of the four basic arithmetic functions of addition, subtraction, multiplication and division, (ii) the demonstration of an 'integrate and fire' hardware neuron using a single phase-change cell and (iii) the expostion of synaptic-like functionality via the 'memflector', an optical analogue of the memristor.
引用
收藏
页码:3408 / +
页数:7
相关论文
共 50 条
  • [1] Biologically-Inspired Neuromorphic Computing
    Olin-Ammentorp, Wilkie
    Cady, Nathaniel
    [J]. SCIENCE PROGRESS, 2019, 102 (03) : 261 - 276
  • [2] Additive manufacturing of biologically-inspired materials
    Studart, Andre R.
    [J]. CHEMICAL SOCIETY REVIEWS, 2016, 45 (02) : 359 - 376
  • [3] Biologically-Inspired Massively-Parallel Computing
    Furber, Steve
    [J]. 2012 18TH IEEE INTERNATIONAL SYMPOSIUM ON ASYNCHRONOUS CIRCUITS AND SYSTEMS (ASYNC), 2012, : XV - XV
  • [4] Designing crystallization in phase-change materials for universal memory and neuro-inspired computing
    Zhang, Wei
    Mazzarello, Riccardo
    Wuttig, Matthias
    Ma, Evan
    [J]. NATURE REVIEWS MATERIALS, 2019, 4 (03) : 150 - 168
  • [5] Designing crystallization in phase-change materials for universal memory and neuro-inspired computing
    Wei Zhang
    Riccardo Mazzarello
    Matthias Wuttig
    Evan Ma
    [J]. Nature Reviews Materials, 2019, 4 : 150 - 168
  • [6] Tutorial: Brain-inspired computing using phase-change memory devices
    Sebastian, Abu
    Le Gallo, Manuel
    Burr, Geoffrey W.
    Kim, Sangbum
    BrightSky, Matthew
    Eleftheriou, Evangelos
    [J]. JOURNAL OF APPLIED PHYSICS, 2018, 124 (11)
  • [7] SymbioticSphere: A Biologically-inspired Network Architecture for Autonomic Grid Computing
    Champrasert, Paskorn
    Itao, Tomoko
    Suzuki, Junichi
    [J]. 2ND INTERNATIONAL CONFERENCE ON BROADBAND NETWORKS (BROADNETS 2005), 2005, : 472 - +
  • [8] Biologically-inspired computing. Part 1 - the general principles
    Winter, Chris
    [J]. Database and Network Journal, 1997, 27 (02):
  • [9] For Flux Sake: The Confluence of Socially- and Biologically-Inspired Computing for Engineering Change in Open Systems
    Pitt, Jeremy
    Hart, Emma
    [J]. 2017 IEEE 2ND INTERNATIONAL WORKSHOPS ON FOUNDATIONS AND APPLICATIONS OF SELF* SYSTEMS (FAS*W), 2017, : 45 - 50
  • [10] Learning slow features with reservoir computing for biologically-inspired robot localization
    Antonelo, Eric
    Schrauwen, Benjamin
    [J]. NEURAL NETWORKS, 2012, 25 : 178 - 190