Design of 2D skyrmionic metamaterials through controlled assemblyShow others and affiliations
2025 (English)In: npj Computational Materials, E-ISSN 2057-3960, Vol. 11, no 1, article id 56Article in journal (Refereed) Published
Abstract [en]
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 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.
Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 11, no 1, article id 56
National Category
Materials Chemistry
Identifiers
URN: urn:nbn:se:oru:diva-120005DOI: 10.1038/s41524-025-01534-4ISI: 001435385600001Scopus ID: 2-s2.0-85219636762OAI: oai:DiVA.org:oru-120005DiVA, id: diva2:1945538
Funder
KTH Royal Institute of TechnologySwedish Research Council, 2016-05980; 2019-05304; 2022-04720; 2023-04239; 2022-06725; 2018-05973Knut and Alice Wallenberg Foundation, 2018.0060; 2021.0246; 2022.0108The Crafoord Foundation, 20231063ÅForsk (Ångpanneföreningen's Foundation for Research and Development), 22-441Göran Gustafsson Foundation for promotion of scientific research at Uppala University and Royal Institute of TechnologyeSSENCE - An eScience CollaborationSwedish National Infrastructure for Computing (SNIC)
Note
Financial support from the Swedish Research Council (grant numbers VR 2016-05980, VR 2019-05304, 2022-04720, and 2023-04239), and the Knut and Alice Wallenberg Foundation (grant numbers 2018.0060, 2021.0246, and 2022.0108) is acknowledged. A.D. and O.E. acknowledge support from the Wallenberg Initiative Materials Science for Sustainability (WISE), funded by the Knut and Alice Wallenberg Foundation (KAW). Q.X. acknowledges financial support from the China Scholarship Council (201906920083). I.P.M. acknowledges support from the Crafoord Foundation (Grant No. 20231063). A.E. acknowledges financial support from ÅForsk (22-441), and the Göran Gustafsson Foundation. A.B. and O.E acknowledges support from eSSENCE. The computations were enabled by resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) and the Swedish National Infrastructure for Computing (SNIC) at NSC and PDC, partially funded by the Swedish Research Council through grant agreements No. 2022-06725 and no. 2018-05973. GPU resources are provided by KAW (Berzelius-2022-141).
2025-03-182025-03-182025-03-18Bibliographically approved