Resistive Ising: Effective resistance in random magnetic nanowire networks

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.

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Publication Details

Journal
Physical review. E
Published
2025-06-03
DOI
https://doi.org/10.1103/hj7g-m5dc
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46

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article

Resistive Ising: Effective resistance in random magnetic nanowire networks

Francesco Caravelli, Ezio Iacocca, Karl J. Friston
2 citations
Physical review. E
Advanced Memory and Neural Computing
1.46
article

Resistive Ising: Effective resistance in random magnetic nanowire networks

Francesco Caravelli, Ezio Iacocca, Karl J. Friston
article en
2 citations

Abstract

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.

Physical review. EVol. 112(1)
Los Alamos National Laboratory (US), University of Colorado Colorado Springs (US)
National Science Foundation, U.S. Department of Energy, National Nuclear Security Administration, Los Alamos National Laboratory
Openalex Percentile: Top 17%
Advanced Memory and Neural Computing
1.46
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