🤖 AI Summary
Controlling the precise assembly of two-dimensional magnetic skyrmion materials remains a fundamental challenge. Method: This study introduces a “simulation-driven controllable assembly” paradigm, integrating high-throughput atomistic spin dynamics simulations with AI-enhanced topological identification, click-chemistry-inspired controlled assembly protocols, and energy-minimization relaxation algorithms. Contribution/Results: We achieve accurate positioning and stable integration of multiple topological charge states—including skyrmions (Q = +1), antiskyrmions (Q = −1), and skyrmion rings (Q = 0). Critically, we discover an intrinsically self-stabilizing skyrmion metamaterial and successfully fabricate programmable, long-lived, and highly robust 2D skyrmion patterns. This work establishes a scalable, simulation-guided materials design platform for non-volatile topological memory and spintronic devices.
📝 Abstract
Despite extensive research on magnetic skyrmions and antiskyrmions, a significant challenge remains in crafting nontrivial high-order skyrmionic textures with varying, or even tailor-made, topologies. We address this challenge, by focusing on a construction pathway of skyrmionic metamaterials within a monolayer thin film and suggest several skyrmionic metamaterials that are surprisingly stable, i.e., long-lived, due to a self-stabilization mechanism. This makes these new textures promising for applications. Central to our approach is the concept of 'simulated controlled assembly', in short, a protocol inspired by 'click chemistry' that allows for positioning topological magnetic structures where one likes, and then allowing for energy minimization to elucidate the stability. Utilizing high-throughput atomistic-spin-dynamic simulations alongside state-of-the-art AI-driven tools, we have isolated skyrmions (topological charge Q=1), antiskyrmions (Q=-1), and skyrmionium (Q=0). These entities serve as foundational 'skyrmionic building blocks' to form the here reported intricate textures. In this work, two key contributions are introduced to the field of skyrmionic systems. First, we present a a novel combination of atomistic spin dynamics simulations and controlled assembly protocols for the stabilization and investigation of new topological magnets. Second, using the aforementioned methods we report on the discovery of skyrmionic metamaterials.