Communication

Arithmetic and Biologically-Inspired Computing Using Phase-Change Materials

  1. C. David Wright1,*,
  2. Yanwei Liu2,
  3. Krisztian I. Kohary1,
  4. Mustafa M. Aziz1,
  5. Robert J. Hicken2

Article first published online: 22 JUN 2011

DOI: 10.1002/adma.201101060

Issue

Advanced Materials

Advanced Materials

Volume 23, Issue 30, pages 3408–3413, August 9, 2011

Additional Information

How to Cite

Wright, C. D., Liu, Y., Kohary, K. I., Aziz, M. M. and Hicken, R. J. (2011), Arithmetic and Biologically-Inspired Computing Using Phase-Change Materials. Adv. Mater., 23: 3408–3413. doi: 10.1002/adma.201101060

Author Information

  1. 1

    School of Engineering, Computing and Mathematics, University of Exeter, Exeter EX4 4QF, UK

  2. 2

    School of Physics, University of Exeter, EX4 4QF, UK

*School of Engineering, Computing and Mathematics, University of Exeter, Exeter EX4 4QF, UK.

Publication History

  1. Issue published online: 4 AUG 2011
  2. Article first published online: 22 JUN 2011
  3. Manuscript Revised: 28 APR 2011
  4. Manuscript Received: 22 MAR 2011

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Keywords:

  • phase-change materials;
  • phase-change memories;
  • memristors;
  • non von-Neumann computing
Thumbnail image of graphical abstract

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.

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