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Skyrmion-based stochastic neurons and their mutual interactions

POSTER

Abstract

Magnetic skyrmions are of great interest due to their desirable features for use in post-von-Neumann computing devices. Implementing skyrmionic devices experimentally requires functionalities of skyrmions with effective controls. Although various skyrmionic devices have been proposed based on the dynamic motion of skyrmions, little progress has been reported in the implementation of such devices owing to challenges in the precise control over skyrmion motion. In this talk, we will examine the local dynamics of a single skyrmion interacting with local pinning centers confining a skyrmion in a magnetic thin film. We will show that a single skyrmion behaves like a stochastic neuron and there exists a mutual coupling between multiple stochastic neurons. The local dynamics of single skyrmions and their coupling strength can be controlled by using an applied magnetic field and a spin current. These properties of skyrmions can be taken advantage of in computing applications.

Publication: Kang Wang, Yiou Zhang, Vineetha Bheemarasetty, Shiyu Zhou, See-Chen Ying, Gang Xiao, submitted manuscript for publication (2021).

Presenters

  • Kang Wang

    Brown University

Authors

  • Kang Wang

    Brown University

  • Yiou Zhang

    Brown University

  • Vineetha S Bheemarasetty

    Brown University

  • Shiyu Zhou

    Brown University

  • See-Chen Ying

    Brown University

  • Gang Xiao

    Brown University