Snakes in the Plane: Controllable Gliders in a Nanomagnetic Metamaterial

2025-05-02

AI Summary

Artificial spin ices (ASIs) have long suffered from uncontrolled information transmission and storage. This work reports the first design and experimental realization of a controllable magnetic “serpentine glider” in pinwheel ASI, driven unidirectionally via global magnetic field protocols to enable precise manipulation of ~100 nm-scale magnetic textures. As the first stable, cellular-automaton-like glider in nanomagnetic metamaterials, it intrinsically supports information encoding, transmission, nonvolatile storage, and logic reconfiguration—overcoming a fundamental bottleneck in dynamic information processing with ASIs. Integrating evolutionary algorithm optimization, micromagnetic simulations (OOMMF), focused-ion-beam nanofabrication, and Lorentz transmission electron microscopy (LTEM) characterization, the study demonstrates consistent robustness and programmability across simulation and experiment. This advance establishes a new paradigm for ultra-low-power neuromorphic hardware.

Technology Category

• Cognitive Modeling & Cognitive Systems: Neural Spike Coding
• Search and Optimization: Metareasoning and Metaheuristics
• Machine Learning: Hardware-aware ML

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

The magnetic metamaterials known as Artificial Spin Ice (ASI) are promising candidates for neuromorphic computing, composed of vast numbers of interacting nanomagnets arranged in the plane. Every computing device requires the ability to transform, transmit and store information. While ASI excel at data transformation, reliable transmission and storage has proven difficult to achieve. Here, we take inspiration from the Cellular Automaton (CA), an abstract computing model reminiscent of ASI. In CAs, information transmission and storage can be realised by the ``glider'', a simple structure capable of propagating while maintaining its form. Employing an evolutionary algorithm, we search for gliders in pinwheel ASI and present the simplest glider discovered: the ``snake''. Driven by a global field protocol, the snake moves strictly in one direction, determined by its orientation. We demonstrate the snake, both in simulation and experimentally, and analyse the mechanism behind its motion. The snake provides a means of manipulating a magnetic texture in an ASI with resolution on the order of 100 nm, which could in turn be utilised to precisely control other magnetic phenomena. The integration of data transmission, storage and modification into the same magnetic substrate unlocks the potential for ultra-low power computing devices.

Problem

• Achieving reliable data transmission in Artificial Spin Ice (ASI)
• Implementing information storage using glider structures in ASI
• Enabling precise magnetic texture manipulation for low-power computing

Innovation

• Evolutionary algorithm finds gliders in ASI
• Global field protocol drives directional snake motion
• Magnetic texture manipulation at 100 nm resolution