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Journal Article

Multicore memristor from electrically readable nanoscopic racetracks

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Jeon,  Jae-Chun       
Nano-Systems from Ions, Spins and Electrons, Max Planck Institute of Microstructure Physics, Max Planck Society;

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Migliorini,  Andrea       
Nano-Systems from Ions, Spins and Electrons, Max Planck Institute of Microstructure Physics, Max Planck Society;

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Yoon,  Jiho       
Nano-Systems from Ions, Spins and Electrons, Max Planck Institute of Microstructure Physics, Max Planck Society;

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Parkin,  Stuart S. P.       
Nano-Systems from Ions, Spins and Electrons, Max Planck Institute of Microstructure Physics, Max Planck Society;

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Citation

Jeon, J.-C., Migliorini, A., Yoon, J., Jeong, J., & Parkin, S. S. P. (2024). Multicore memristor from electrically readable nanoscopic racetracks. Science, 386(6719), 315-322. doi:10.1126/science.adh3419.


Cite as: https://hdl.handle.net/21.11116/0000-0010-0FB8-F
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.