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Updated: Jan 18, 2026

Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains
Published on: July 20, 2022
Energy minima and ordering in ferromagnets with static randomness.
1Physics Department, Herbert H. Lehman College and Graduate School, The City University of New York, 250 Bedford Park Boulevard West, Bronx, NY 10468-1589, United States of America.
Simulations reveal that 3D random-anisotropy (RA) models magnetically order with decreasing temperature, challenging the Imry-Ma argument. However, 3D random-field (RF) models freeze into a spin-glass state, preventing magnetic ordering due to pinned singularities.
Area of Science:
- Condensed matter physics
- Statistical mechanics
- Computational physics
Background:
- The Imry-Ma argument predicts that random-field (RF) and random-anisotropy (RA) systems should not exhibit long-range magnetic order at finite dimensions.
- Understanding the magnetic ordering behavior of disordered systems is crucial for materials science and condensed matter physics.
Purpose of the Study:
- To investigate the magnetic ordering of 2D and 3D random-field and random-anisotropy models.
- To challenge or confirm theoretical predictions, specifically the Imry-Ma argument, through large-scale simulations.
Main Methods:
- Energy minimization at T=0 Kelvin.
- Monte Carlo simulations at temperatures above 0 Kelvin.
- Modeling of up to 150 million classical spins in 2D and 3D lattices.
Main Results:
- 3D RA models exhibit magnetic ordering upon cooling, contradicting the Imry-Ma argument.
- In 3D RA models, if anisotropy exceeds exchange interactions, magnetization is reduced, and a spin-glass component emerges.
- 3D RF systems do not magnetically order but freeze into a correlated spin-glass state due to pinned singularities.
Conclusions:
- The Imry-Ma argument's predictions for magnetic ordering in 3D RA models are challenged by simulation results.
- Singularities play a critical role in preventing magnetic ordering in 3D RF systems.
- The behavior of magnetic systems with competing interactions (exchange, random field, anisotropy) is complex and depends on their relative strengths.
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