Multicore memristor from electrically readable nanoscopic racetracks

The manipulation and detection of mobile domain walls in nanoscopic magnetic wires underlies the development of multibit memories. The studies of such domain walls have focused on macroscopic wires that allow for optical detection by using magneto-optic effects. In this study, we demonstrated the electrical tracking with a spatial resolution of better than 40 nm of multiple mobile domain walls in nanoscopic racetracks, using a set of anomalous Hall detectors integrated into the racetracks. Electrical time-series signals from the Hall detectors allow for the static and dynamic phase space visualization of the dynamics of a domain wall or multiple domain walls that can be described by a multicore memristor model. The domain wall dynamics and stochasticity can be controlled in racetracks even to deep submicron dimensions.

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Publication Details

Journal
Science
Published
2024-10-17
DOI
https://doi.org/10.1126/science.adh3419
Citations
19
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
3.96
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article

Multicore memristor from electrically readable nanoscopic racetracks

Jae‐Chun Jeon, Jiho Yoon, Andrea Migliorini, S. Parkin et al.
19 citations
Science
Advanced Memory and Neural Computing
3.96
article

Multicore memristor from electrically readable nanoscopic racetracks

Jae‐Chun Jeon, Jiho Yoon, Andrea Migliorini, S. Parkin, Jae-Uk Jeong
article en
19 citations

Abstract

The manipulation and detection of mobile domain walls in nanoscopic magnetic wires underlies the development of multibit memories. The studies of such domain walls have focused on macroscopic wires that allow for optical detection by using magneto-optic effects. In this study, we demonstrated the electrical tracking with a spatial resolution of better than 40 nm of multiple mobile domain walls in nanoscopic racetracks, using a set of anomalous Hall detectors integrated into the racetracks. Electrical time-series signals from the Hall detectors allow for the static and dynamic phase space visualization of the dynamics of a domain wall or multiple domain walls that can be described by a multicore memristor model. The domain wall dynamics and stochasticity can be controlled in racetracks even to deep submicron dimensions.

ScienceVol. 386(6719)
ON Semiconductor (United States) (US), Samsung (South Korea) (KR), Max Planck Institute of Microstructure Physics (DE)
Sustainable cities and communities
Openalex Percentile: Top 6%
Advanced Memory and Neural Computing
3.96
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Multicore memristor from electrically readable nanoscopic racetracks — Jae‐Chun Jeon, Jiho Yoon, et al. · Science (2024) | TGRS Research Map | TGRS