论文标题
来自初始磁化曲线的人工Kagome自旋冰磁相识别
Artificial kagome spin ice magnetic phase recognition from the initial magnetization curve
论文作者
论文摘要
人工旋转的旋转冰(ASIS)是可设计的相互作用纳米磁体的阵列,它们跨越了与许多自旋晶格模型相关的广泛磁相。在这里,我们证明了人工kagome自旋冰的相位可以从其初始磁化曲线确定。作为概念的证明,从系统的不同阶段的代表性微观物开始进行了这些曲线的微磁模拟。我们表明,曲线的特征特异性特征的特征是模式识别算法可以预测具有良好可靠性的初始微晶格的相位。这项成就代表了一种新的策略,可以比通常用于此任务使用的磁成像技术更容易且更容易访问。
Artificial spin ices (ASIs) are designable arrays of interacting nanomagnets that span a wide range of magnetic phases associated with a number of spin lattice models. Here, we demonstrate that the phase of an artificial kagome spin ice can be determined from its initial magnetization curve. As a proof of concept, micromagnetic simulations of these curves were performed starting from representative microstates of different phases of the system. We show that the curves are characterized by phase-specific features in such a way that a pattern recognition algorithm predicts the phase of the initial microstate with good reliability. This achievement represents a new strategy to identify phases in ASIs, easier and more accessible than magnetic imaging techniques normally used for this task.