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arXiv 2110.00525cond-mat.mtrl-sci
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激光激发3$d$铁磁体中的内禀能量流

Intrinsic energy flow in laser-excited 3$d$ ferromagnets

Daniela Zahn, Florian Jakobs, Hélène Seiler, Tim A. Butcher, Dieter Engel, Jan Vorberger, Unai Atxitia, Yoav William Windsor, Ralph Ernstorfer

AI总结:

结合飞秒电子衍射实验与能量守恒ASD模拟,研究3d铁磁体Co和Fe中的内禀能量流,发现自旋系统在前几百飞秒内作为主要热汇,并验证了ASD模拟对所有元素3d铁磁体激光诱导动力学的一般性描述。

摘要:

超快磁化动力学受电子、磁和晶格自由度之间的能量流控制。对这些动力学的定量理解必须基于一个与所有三个子系统的实验结果相一致的模型。然而,晶格的超快动力学在实验上很大程度上仍未被探索。在这里,我们将晶格动力学的飞秒电子衍射实验与能量守恒的原子级自旋动力学(ASD)模拟和ab-initio计算相结合,以研究3d铁磁体钴(Co)和铁(Fe)中的内禀能量流。模拟对实验数据给出了良好的描述,特别是对我们在晶格动力学方面的实验结果给出了出色的描述。我们发现,由于退磁化的能量代价,晶格动力学受到磁化动力学的显著影响。我们的结果突出了自旋系统在前几百飞秒内作为主要热汇的作用。结合先前关于镍的发现 [Zahn et al., Phys. Rev. Research 3, 023032 (2021)],我们的工作表明,能量守恒的ASD模拟为所有三种元素3d铁磁体中的激光诱导动力学提供了一般且一致的描述。

英文摘要:

Ultrafast magnetization dynamics are governed by energy flow between electronic, magnetic, and lattice degrees of freedom. A quantitative understanding of these dynamics must be based on a model that agrees with experimental results for all three subsystems. However, ultrafast dynamics of the lattice remain largely unexplored experimentally. Here, we combine femtosecond electron diffraction experiments of the lattice dynamics with energy-conserving atomistic spin dynamics (ASD) simulations and ab-initio calculations to study the intrinsic energy flow in the 3d ferromagnets cobalt (Co) and iron (Fe). The simulations yield a good description of experimental data, in particular an excellent description of our experimental results for the lattice dynamics. We find that the lattice dynamics are influenced significantly by the magnetization dynamics due to the energy cost of demagnetization. Our results highlight the role of the spin system as the dominant heat sink in the first hundreds of femtoseconds. Together with previous findings for nickel [Zahn et al., Phys. Rev. Research 3, 023032 (2021)], our work demonstrates that energy-conserving ASD simulations provide a general and consistent description of the laser-induced dynamics in all three elemental 3d ferromagnets.

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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