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arXiv 1407.0635cond-mat.mes-hall
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铁磁绝缘体中的自旋波

Spin Waves in Ferromagnetic Insulators Coupled via a Normal Metal

Hans Skarsvag, Andre Kapelrud, Arne Brataas

摘要:

本文研究了铁磁绝缘体-正常金属-铁磁绝缘体系统中自旋波的色散和耗散。由于自旋抽运和自旋转移引起的长程动力学耦合导致两个薄膜铁磁体的集体磁激发。此外,动态偶极场对层间耦合也有贡献。通过求解大自旋激发的Landau-Lifshitz-Gilbert-Slonczewski方程和交换偶极体积以及表面自旋波,我们计算了动态耦合对各种模式的共振频率和线宽的影响。长波长模式可以声耦合或光耦合。在正常金属中不存在自旋记忆损失的情况下,声学模式的自旋泵激诱导的吉尔伯特阻尼增强消失,而光学模式获得了显着的吉尔伯特阻尼增强,与连接到完美自旋阱的系统的增强相当。短波长自旋波的动态耦合减少,没有同步。对于中间波长,偶极场可以增加耦合,使得两个铁磁绝缘体中的模式可以耦合,尽管可能存在小的频率不对称性。由易轴表面各向异性引起的表面波表现出更大的吉尔伯特阻尼增强。这些模式也可以声学或光学耦合,但它们不受厚度不对称性的影响。

英文摘要:

Herein, we study the spin-wave dispersion and dissipation in a ferromagnetic insulator--normal metal--ferromagnetic insulator system. Long-range dynamic coupling because of spin pumping and spin transfer lead to collective magnetic excitations in the two thin-film ferromagnets. In addition, the dynamic dipolar field contributes to the interlayer coupling. By solving the Landau-Lifshitz-Gilbert-Slonczewski equation for macrospin excitations and the exchange-dipole volume as well as surface spin waves, we compute the effect of the dynamic coupling on the resonance frequencies and linewidths of the various modes. The long-wavelength modes may couple acoustically or optically. In the absence of spin-memory loss in the normal metal, the spin-pumping-induced Gilbert damping enhancement of the acoustic mode vanishes, whereas the optical mode acquires a significant Gilbert damping enhancement, comparable to that of a system attached to a perfect spin sink. The dynamic coupling is reduced for short-wavelength spin waves, and there is no synchronization. For intermediate wavelengths, the coupling can be increased by the dipolar field such that the modes in the two ferromagnetic insulators can couple despite possible small frequency asymmetries. The surface waves induced by an easy-axis surface anisotropy exhibit much greater Gilbert damping enhancement. These modes also may acoustically or optically couple, but they are unaffected by thickness asymmetries.

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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