ArticleScientific reports2022
Causal analysis and visualization of magnetization reversal using feature extended landau free energy.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Anomaly detection of fermi surface morphology in Co2MnGaxGe1-x via interpretable machine learning.Scientific reports · 2026Article
- Explainable analysis of the complex maze magnetic domain structure through extension of the Landau free energy model by adding an entropy feature.Scientific reports · 2026Article
- The development and application of magnetic surgery in clinical treatment.Biomedical engineering online · 2026Review
- Persistent homology elucidates hierarchical structures responsible for mechanical properties in covalent amorphous solids.Nature communications · 2025Article
- Automated identification of the origin of energy loss in nonoriented electrical steel by feature extended Ginzburg-Landau free energy framework.Scientific reports · 2025Article
- Interpretable Structural Evaluation of Metal-Oxide Nanostructures in Scanning Transmission Electron Microscopy (STEM) Images via Persistent Homology.Nanomaterials (Basel, Switzerland) · 2024Article
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Authors and funding
5 authors.
Funding
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Abstract
The magnetization reversal in nanomagnets is causally analyzed using an extended Landau free-energy model. This model draws an energy landscape in the information space using physics-based features. Thus, the origin of the magnetic effect in macroscopic pinning phenomena can be identified. The microscopic magnetic domain beyond the hierarchy can be explained using energy gradient analysis and its decomposition. Structural features from the magnetic domains are extracted using persistent homology. Extended energy is visualized using ridge regression, principal component analysis, and Hadamard products. We found that the demagnetization energy concentration near a defect causes the demagnetization effect, which quantitatively dominates the pinning phenomenon. The exchange energy inhibits pinning, promotes saturation, and shows slight interactions with the defect. Furthermore, the energy distributions are visualized in real space. Left-position defects reduce the energy barrier and are useful for the topological inverse design of recording devices.
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Registered trials
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