Sensitive dependence on initial conditions in a formation of magnetic vortices

S Suyeong Jeong (Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST) 1 , Ulsan 44919,) M Myeonghwan Kang (Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST) 1 , Ulsan 44919,) D Dae-Han Jung (Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST) 1 , Ulsan 44919,) Y Young-Sang Yu (Department of Physics, Chungbuk National University 2 , Cheongju 28644,) M Mi-Young Im (Materials Sciences Division, Lawrence Berkeley National Laboratory 3 , Berkeley, California 94720,) H Hee-Sung Han (Department of Materials Science and Engineering, Korea National University of Transportation 4 , Chungju 27469,) K Ki-Suk Lee (Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST) 1 , Ulsan 44919,)

Abstract

The magnetic vortex exhibits promise as a true random number generator for hardware-based encryption and probabilistic computing due to its stochastic formation of energetically equivalent fourfold degenerate states, characterized by two topologies: polarity and chirality. However, a comprehensive understanding of the stochastic formation of magnetic vortices remains elusive. In this work, we show that the magnetization relaxation in asymmetric Permalloy disks evolves along a pitchfork bifurcation, with both bifurcation paths leading to the formation of magnetic vortices with the same chirality. In the bifurcation, one formation path is always chosen under weak in-plane magnetic fields, ultimately determining the final magnetic vortex state. By delaying the in-plane magnetic field, we quantitatively investigate when the final vortex state is determined and find that it is closely associated with the initial conditions rather than the bifurcation point itself. Our findings provide valuable insights into future spintronic-based encryption and probabilistic computing.

Article Details

Volume / Issue Vol. 127, Issue 4
Published July 28, 2025
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (7)

S

Suyeong Jeong

Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST) 1 , Ulsan 44919,

M

Myeonghwan Kang

Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST) 1 , Ulsan 44919,

D

Dae-Han Jung

Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST) 1 , Ulsan 44919,

Y

Young-Sang Yu

Department of Physics, Chungbuk National University 2 , Cheongju 28644,

M

Mi-Young Im

Materials Sciences Division, Lawrence Berkeley National Laboratory 3 , Berkeley, California 94720,

H

Hee-Sung Han

Department of Materials Science and Engineering, Korea National University of Transportation 4 , Chungju 27469,

K

Ki-Suk Lee

Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST) 1 , Ulsan 44919,