Understanding the effects of interparticle interactions is a vital problem because magnetic nanoparticles showcase a variety of magnetic configurations due to different contributions to their total energy. To derive reliable and robust properties from magnetic nanoparticles, it is, thus, necessary to understand the competition between particle anisotropy and interparticle interactions that define the magnetic state of nanoparticles, where size control plays an important role. Here, we apply the random anisotropy model (RAM) that considers various magnetic interactions to selectively prepared NiCr nanostructures (NiCr dense nanoclusters, nanogranular NiCr thin films, and Ag(NiCr) nanocomposites) with different interparticle interactions. The estimated single-particle magnetic anisotropy K values (2.82 − 12.3 × 10⁴ J/m³) and careful analysis of magnetization behavior for these nanostructures reveal that orbital hybridization, surface segregation, and interface character govern the magnetic interactions among nanoparticles. Our study demonstrates how magnetic behaviors vary in these different magnetic systems consisting of superparamagnetic (SPM) and ferromagnetic (FM) contributions specific to magnetic interactions.

了解粒子间相互作用的影响是一个至关重要的问题，因为磁性纳米粒子由于对其总能量的贡献不同而表现出各种磁性配置。为了从磁性纳米粒子中获得可靠和稳健的特性，因此有必要了解粒子各向异性和定义纳米粒子磁性状态的粒子间相互作用之间的竞争，其中尺寸控制起着重要作用。在这里，我们将考虑各种磁相互作用的随机各向异性模型 (RAM) 应用于选择性制备的具有不同粒子间相互作用的 NiCr 纳米结构（NiCr 致密纳米团簇、纳米颗粒 NiCr 薄膜和 Ag(NiCr) 纳米复合材料）。估计的单粒子磁各向异性K值 (2.82 − 12.3 × 10 ⁴  J/m ³ ) 和对这些纳米结构的磁化行为的仔细分析表明，轨道杂化、表面偏析和界面特征控制着纳米粒子之间的磁性相互作用。我们的研究证明了这些不同的磁性系统中的磁性行为如何变化，这些磁性系统由超顺磁性 (SPM) 和铁磁性 (FM) 贡献特定于磁性相互作用。