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arXiv 2109.04815cond-mat.mtrl-scicond-mat.mes-hallcond-mat.stat-mech
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元素钕玻璃态的热感生磁序

Thermally-induced magnetic order from glassiness in elemental neodymium

Benjamin Verlhac, Lorena Niggli, Anders Bergman, Umut Kamber, Andrey Bagrov, Diana Iuşan, Lars Nordström, Mikhail I. Katsnelson, Daniel Wegner, Olle Eriksson, A… 展开作者

Benjamin Verlhac, Lorena Niggli, Anders Bergman, Umut Kamber, Andrey Bagrov, Diana Iuşan, Lars Nordström, Mikhail I. Katsnelson, Daniel Wegner, Olle Eriksson, Alexander A. Khajetoorians

摘要:

在热力学中,温度与无序是同义词,并且负责最终破坏有序相。在这里,我们展示了一个不寻常的磁性转变,随着温度的增加元素钕,长程多Q磁序出现自诱导自旋玻璃。使用温度依赖的自旋极化扫描隧道显微镜,我们的特点,在自旋Q玻璃相的本地Q顺序和量化的出现,随着温度的升高,远程多Q顺序。我们开发了两种不同的分析工具,这使得量化的玻璃化转变温度,根据测量的空间依赖性磁化。我们比较这些观察与原子自旋动力学模拟,再现的定性观察的相变从低温自旋玻璃阶段的中间有序的多Q相。这些模拟跟踪的起源意想不到的高温秩序在削弱挫折驱动的温度依赖的子晶格相关性。这些发现构成了一个从无序到有序的例子,并为研究自诱导自旋玻璃中的磁化动力学提供了一个丰富的平台。

英文摘要:

Temperature in thermodynamics is synonymous with disorder, and responsible for ultimately destroying ordered phases. Here, we show an unusual magnetic transition where, with increasing the temperature of elemental neodymium, long-range multi-Q magnetic order emerges from a self-induced spin glass. Using temperature-dependent spin-polarized scanning tunneling microscopy, we characterize the local Q order in the spin-Q glass phase and quantify the emergence of long-range multi-Q order with increasing temperature. We develop two distinct analysis tools, which enable the quantification of the glass transition temperature, based on measured spatially-dependent magnetization. We compare these observations with atomic spin dynamics simulations, which reproduce the qualitative observation of a phase transition from a low-temperature spin glass phase to an intermediate ordered multi-Q phase. These simulations trace the origin of the unexpected high temperature order in weakened frustration driven by temperature-dependent sublattice correlations. These findings constitute an example of order from disorder and provide a rich platform to study magnetization dynamics in a self-induced spin glass.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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