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arXiv 2603.08152cond-mat.mtrl-sci
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光子干涉在激子介导的磁光响应中的作用

Role of photonic interference in exciton-mediated magneto-optic responses

Technical University of Munich(慕尼黑工业大学);Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau(莱茵兰-普法尔茨技术大学凯泽斯劳滕-兰道)

Güven Budak, Christian Riedel, Akashdeep Kamra, Patrick Rinke, Christian Back, Matthias Stosiek, Florian Dirnberger

AI总结:

研究揭示了光子干涉在激子介导磁光响应中的关键作用,通过模拟区分了激子-磁子耦合与磁子-光子相互作用,并利用机器学习优化磁子-光子转换。

摘要:

耦合的光学和磁学激发可以产生显著强的磁光响应。这在范德瓦尔磁体中尤为明显,例如反铁磁体CrSBr,其中激子和磁子源自同一电子轨道。尽管以往的研究主要集中在揭示由此产生的激子-磁子相互作用的磁电起源,但光子效应的影响却相对较少受到关注。在这里,我们使用数值模拟来区分激子-磁子耦合与在光学实验中观察到的由激子介导的磁子-光子相互作用。我们的模拟显示这些相互作用对光子干涉和色散效应在激子共振附近有很强的依赖性。这些效应塑造了对相干磁子的光学响应,并使其在磁子诱导的激子能量移位中本质上非线性。热磁子对激子有特别显著的影响,被发现甚至会产生光学特征的定性不同趋势。根据激子与光子弱或强耦合,相同的激子-磁子相互作用可以导致光学模式的红移、几乎消失的响应,或其蓝移。最后,我们展示了通过机器学习方法优化高效磁子-光子转换多参数问题的第一步。

英文摘要:

Coupled optical and magnetic excitations can give rise to remarkably strong magneto-optic responses. This is particularly evident in van der Waals magnets, such as the antiferromagnet CrSBr, where excitons and magnons emerge from the same electronic orbitals. While previous work has primarily focused on uncovering the magneto-electric origin of the resulting exciton-magnon interactions, the influence of photonic effects has received comparatively little attention. Here, we use numerical simulations to disentangle exciton-magnon coupling from the exciton-mediated magnon-photon interactions observed in optical experiments. Our simulations show the strong dependence of these interactions on photonic interference and dispersion effects near excitonic resonances. Such effects shape the optical response to coherent magnons and make it intrinsically non-linear in the magnon-induced exciton energy shift. Thermal magnons, which have a particularly pronounced impact on excitons, are found to even produce qualitatively different trends in optical signatures. Depending on weak or strong coupling of excitons and photons, the same exciton-magnon interaction can lead to a red-shift of optical modes, a nearly vanishing response, or their blue-shift. Finally, we demonstrate first steps towards optimizing the multi-parameter problem of efficient magnon-photon transduction using a machine-learning approach.

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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