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arXiv 2607.28812cond-mat.mes-hallcond-mat.mtrl-sci

磁性纳米颗粒中用于宏观性能的微无序工程

Engineering micro-disorder for macro-performance in magnetic nanoparticles

Jonathan Leliaert, Elizabeth M Jefremovas

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中文总结 AI 辅助

该视角文章综述磁性纳米颗粒的无序工程概念,指出需超越宏自旋近似,发展微磁学建模等方法,建立结构-磁化-功能定量关系,推动自旋无序成为可设计参数。

中文摘要 AI 辅助

自旋无序是磁性纳米颗粒的固有特性,传统上被视为有害特征,材料工程工作大多集中在制备缺陷尽可能少的“完美颗粒”。然而,在这种追求完美的过程中,近年来出现了一种替代框架,将颗粒内无序重新定义为潜力有待挖掘的“丑小鸭”。在这篇视角文章中,我们综述了磁性纳米颗粒中无序工程这一新兴概念,指出其当前挑战,并概述了有前景的未来方向。从理论角度来看,研究进展需要超越广泛使用的宏自旋近似,该近似严重限制了对颗粒内自由度的描述。相反,微磁学建模将磁化强度视为连续矢量场,从而实现:(i)明确表征颗粒内自由度,将微观结构特征与内部磁化纹理关联起来;(ii)与极化小角中子散射直接对应,该实验技术可定量获取纳米尺度上 ensemble 平均的磁相关性。该领域现在必须推进到具有结构驱动参数的可证伪、感知不确定性的模型,以及可与独立实验观测值对比的预测。总体目标是建立颗粒结构、颗粒内磁化纹理与宏观功能之间的定量关系,从而将自旋无序从难以捉摸的隐藏变量转变为可工程化的设计参数。

英文摘要

Spin disorder, inherent to magnetic nanoparticles, has traditionally been regarded as a detrimental feature, with materials-engineering efforts largely focused on producing ''perfect particles'' containing as few defects as possible. Alongside this pursuit of perfection, however, an alternative framework has emerged in recent years that reframes intra-particle disorder as an ''ugly duckling'' whose functional potential remains to be unlocked. In this Perspective, we review the emerging concept of disorder engineering in magnetic nanoparticles, identify its current challenges, and outline promising future directions. From a theoretical standpoint, progress requires moving beyond the widely used macrospin approximation, which severely restricts the description of intra-particle degrees of freedom. Micromagnetic modelling, in contrast, treats magnetisation as a continuous vector field and thereby enables (i) the explicit representation of intra-particle degrees of freedom, linking microstructural features to internal magnetisation textures, and (ii) direct correspondence with polarized small-angle neutron scattering, an experimental technique that provides quantitative access to ensemble-averaged magnetic correlations on nanometre length scales. The field must now advance towards falsifiable and uncertainty-aware models with structurally motivated parameters and predictions that can be tested against independent experimental observables. The overarching goal is to establish quantitative relationships between particle structure, intra-particle magnetisation textures, and macroscopic functionality, thereby transforming spin disorder from an elusive hidden variable into an engineerable design parameter.

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