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‘Memristive’ switches enable ‘stateful’ logic operations via material implication

Author

Listed:
  • Julien Borghetti

    (Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, California 94304, USA)

  • Gregory S. Snider

    (Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, California 94304, USA)

  • Philip J. Kuekes

    (Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, California 94304, USA)

  • J. Joshua Yang

    (Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, California 94304, USA)

  • Duncan R. Stewart

    (Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, California 94304, USA
    Present address: Steacie Institute for Molecular Science, National Research Council of Canada, 100 Sussex Drive, Ottawa, Ontario, K1A OR6 Canada.)

  • R. Stanley Williams

    (Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, California 94304, USA)

Abstract

A good memory for logic The possibility of combining the electrical properties of a memory element and a resistor — in a memristor or memristive device — was proposed by Leon Chua in 1971. It remained in the realms of theory until two years ago, when bipolar voltage-activated switches were identified as physical realizations of the memristor. The resulting revival of interest in memristive devices looks set to continue now that Julien Borghetti and colleagues show how 'memristors' can also perform a fundamental class of logic operations that requires individual devices to act simultaneously as logic and memory elements.

Suggested Citation

  • Julien Borghetti & Gregory S. Snider & Philip J. Kuekes & J. Joshua Yang & Duncan R. Stewart & R. Stanley Williams, 2010. "‘Memristive’ switches enable ‘stateful’ logic operations via material implication," Nature, Nature, vol. 464(7290), pages 873-876, April.
  • Handle: RePEc:nat:nature:v:464:y:2010:i:7290:d:10.1038_nature08940
    DOI: 10.1038/nature08940
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    Cited by:

    1. Kyung Seok Woo & Janguk Han & Su-in Yi & Luke Thomas & Hyungjun Park & Suhas Kumar & Cheol Seong Hwang, 2024. "Tunable stochastic memristors for energy-efficient encryption and computing," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    2. Kun Li & Rongfeng Li & Longzhou Cao & Yuming Feng & Babatunde Oluwaseun Onasanya, 2023. "Periodically Intermittent Control of Memristor-Based Hyper-Chaotic Bao-like System," Mathematics, MDPI, vol. 11(5), pages 1-17, March.

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