R-Ising: Effective resistance in random magnetic nanowires networks
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866916864231211008 |
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| author | Barrows, Frank Iacocca, Ezio Caravelli, Francesco |
| author_facet | Barrows, Frank Iacocca, Ezio Caravelli, Francesco |
| contents | Random assemblies of magnetic nanowires represent a unique class of materials with promising applications in spintronics and information storage. These assemblies exhibit complex behavior due to the combination of magnetic dipolar interactions between the nanowires and electronic transport properties governed by tunneling barriers at magnetic tunnel junctions (MTJs). The intricate interplay of these phenomena makes the study of magnetic nanowire networks a rich area of research. In this study, we develop a theoretical framework to analyze the resistive behavior of random magnetic nanowire networks. By employing a combination of graph theoretical approaches and mean-field theory, we derive an effective resistance model that encapsulates the contributions of magnetic interactions between the nanowires. Our findings show the importance of considering both the magnetic and electrical properties of nanowire networks in the design and optimization of amorphous resistive devices. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_21999 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | R-Ising: Effective resistance in random magnetic nanowires networks Barrows, Frank Iacocca, Ezio Caravelli, Francesco Statistical Mechanics Mesoscale and Nanoscale Physics Adaptation and Self-Organizing Systems Random assemblies of magnetic nanowires represent a unique class of materials with promising applications in spintronics and information storage. These assemblies exhibit complex behavior due to the combination of magnetic dipolar interactions between the nanowires and electronic transport properties governed by tunneling barriers at magnetic tunnel junctions (MTJs). The intricate interplay of these phenomena makes the study of magnetic nanowire networks a rich area of research. In this study, we develop a theoretical framework to analyze the resistive behavior of random magnetic nanowire networks. By employing a combination of graph theoretical approaches and mean-field theory, we derive an effective resistance model that encapsulates the contributions of magnetic interactions between the nanowires. Our findings show the importance of considering both the magnetic and electrical properties of nanowire networks in the design and optimization of amorphous resistive devices. |
| title | R-Ising: Effective resistance in random magnetic nanowires networks |
| topic | Statistical Mechanics Mesoscale and Nanoscale Physics Adaptation and Self-Organizing Systems |
| url | https://arxiv.org/abs/2410.21999 |