A

Dynamical memristors for higher-complexity neuromorphic computing

Nature Reviews Materials, vol. 7, pp. 575–591

Authors 5

  1. Suhas Kumar corresponding

    Sandia National Laboratories California · Sandia National Laboratories

    Affiliation as printed

    Sandia National Laboratories, Livermore, USA

    Sandia National Laboratories, Livermore, CA, USA

  2. University of Michigan

    Affiliation as printed

    Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, USA

    Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, MI, USA

  3. Forschungszentrum Jülich · RWTH Aachen University

    Affiliation as printed

    Peter Grünberg Institute (PGI-14), Forschungszentrum Jülich GmbH, Jülich, Germany

    RWTH Aachen University, Aachen, Germany

  4. Yuchao Yang corresponding

    Peking University · Chinese Institute for Brain Research

    Affiliation as printed

    Center for Brain Inspired Intelligence, Chinese Institute for Brain Research (CIBR), Beijing, China

    School of Integrated Circuits, Center for Brain Inspired Chips, Institute for Artificial Intelligence, Peking University, Beijing, China

  5. University of Michigan

    Affiliation as printed

    Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, USA

    Electrical Engineering and Computer Science Department, University of Michigan, Ann Arbor, MI, USA

Cited by 562 stored of 567

No patents citing this paper on Lens.org (checked 2026-10-06).

References 170