Direct Visualization of Memory Effects in Artificial Spin Ice
Ian Gilbert, Gia-Wei Chern, Bryce Fore, Yuyang Lao, Sheng Zhang,, Cristiano Nisoli, and Peter Schiffer

TL;DR
This study experimentally visualizes how artificial spin ice arrays develop reproducible microstates due to memory effects influenced by magnetic field strength, revealing a ratchet mechanism involving magnetic defects and string networks.
Contribution
It provides the first direct visualization and understanding of memory effects in artificial spin ice, linking them to defect dynamics and string formation during magnetization.
Findings
Memory effects depend on the applied field relative to coercivity.
Reproducible microstates form after cycling, especially near coercivity.
Memory is due to a ratchet effect on magnetic defects and string networks.
Abstract
We experimentally demonstrate that arrays of interacting nanoscale ferromagnetic islands, known as artificial spin ice, develop reproducible microstates upon cycling an applied magnetic field. The onset of this memory effect is determined by the strength of the applied field relative to the array coercivity. Specifically, when the applied field strength is almost exactly equal to the array coercivity, several training cycles are required before the array achieves a nearly completely repeatable microstate, whereas when the applied field strength is stronger or weaker than the array coercivity, a repeatable microstate is achieved after the first minor loop. We show through experiment and simulation that this memory exhibited by artificial spin ice is due to a ratchet effect on interacting, magnetically-charged defects in the island moment configuration and to the complexity of the network…
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