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Experimental realization of the ground state for the antiferromagnetic Ising model on a triangular lattice (2501.10026v1)

Published 17 Jan 2025 in cond-mat.mes-hall and cond-mat.mtrl-sci

Abstract: The antiferromagnetic Ising model on a triangular lattice (AFIT) exemplifies the most classical frustration system, arising from its triangular geometry that prevents all interactions from being simultaneously satisfied. Understanding geometric frustration in AFIT is crucial for advancing our knowledge of materials science and complex phases of matter. Here, we present a simple platform to study AFIT by arranging cylindrical magnets in vertical cavities of a triangular lattice, where magnets can slide along the cavity axis and stabilize either at the bottom or at the top of the cavity, analogous to the bistability of the Ising spin. The strong interactions of the magnets and the unique growing process allow the frustrated behavior and its ground state configurations to be directly observed. Notably, we observe a curved stripe phase, which is exotic to the Ising model. An effective thermalization process is developed to minimize the interaction energy, facilitating the evolution of various magnetic states, thereby visually realizing the ground state antiferromagnetic Ising model. Theoretical simulations and machine learning are performed concurrently to reveal the ground state and its evolution under effective thermal fluctuations, which are remarkably consistent with experimental results. Our system provides a unique platform to study frustrated systems and pave the way for future explorations in complex geometries.

Summary

  • The paper demonstrates an experimental realization of the antiferromagnetic Ising model, overcoming geometric frustration on a triangular lattice with macroscopic magnets.
  • The methodology leverages a novel vibration protocol to transition the system from metastable states to an exotic curved stripe phase that aligns with theoretical predictions.
  • Simulations and pairwise correlation analyses validate strong nearest-neighbor and next-nearest-neighbor interactions, offering insights for designing advanced magnetic memory devices.

Experimental Realization of the Ground State for the Antiferromagnetic Ising Model on a Triangular Lattice

The paper presents a significant investigation into the antiferromagnetic Ising model on a triangular lattice (AFIT), elucidating the overwhelming complexity associated with geometric frustration. This system is notably characterized by its inability to satisfy all antiferromagnetic interactions due to its triangular geometry leading to highly degenerate ground states. Despite being a cornerstone of theoretical exploration, experimental realizations have been sparse.

In this paper, the authors developed an innovative experimental platform using macroscopic cylindrical magnets placed in vertical cavities on a triangular lattice. This setup allowed direct visualization of the frustrated ground state configurations, overcoming limitations noted in prior colloidal and spin-ice systems, such as thermal effects that prevented these systems from reaching their ground state.

A pivotal observation from the experiment is the emergence of an exotic curved stripe phase, an unusual characteristic for the Ising model, achieved through a meticulously administered thermalization process. Here, the system was able to transition from high-energy metastable states to the ground state, by leveraging an innovative vibration protocol to adjust magnet positions, confirming theoretical predictions around AFIT.

Subsequent simulations paralleled these experimental configurations, revealing the evolution of the system under thermal fluctuations and verifying the presence of ground states consisting primarily of motifs 2b and 2c at zero temperature (T/T0 = 0). Notably, at finite temperatures, the model demonstrated parallel zigzag stripe configurations, which challenge previous interpretations that anticipated disordered ground states.

The reported experimental results suggest a remarkable concordance with theoretical predictions, particularly in systems with small inter-magnet spacing. The authors further analyze pairwise correlations and energy interactions within the system, noting strong nearest-neighbor (NN) interactions and indirect next-nearest-neighbor (NNN) effects that collaboratively shape the macroscopic magnetic configurations.

The implications of this work are multi-faceted. Practically, the findings pave the way for designing novel magnetic memory devices that leverage frustrated spin states, providing tangible applications by manipulating and stabilizing magnetic configurations at the single-particle level. Theoretically, this approach allows for further exploration into exotic phases of matter, contributing significantly to our understanding of geometrically frustrated systems and extending the potential for future explorations in complex lattice geometries.

This research not only contributes to the AFIT model but opens up pathways for leveraging macroscopic systems to probe and elucidate the mechanics of geometric frustration. The adoption of machine learning techniques alongside simulations demonstrates a novel analytical approach to explore complex magnetic interactions, potentially setting a precedent for future studies investigating similar frustrated systems and their practical applications.

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