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arXiv 1402.7300cond-mat.str-el
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远离平衡态的哈伯德纳米团簇

Hubbard nanoclusters far from equilibrium

Sebastian Hermanns, Niclas Schlünzen, Michael Bonitz

摘要:

哈伯德模型是强关联多粒子系统的原型,包括凝聚态物质和分子中的电子,以及光晶格中的费米子或玻色子。虽然这些系统的平衡性质已被详细研究,但强非微扰激发后的非平衡动力学最近才成为实验和理论的焦点。特别令人感兴趣的是,动力学如何依赖于耦合强度和粒子数,以及在时间演化中是否存在普遍特征。在这里,我们提出了有限的哈伯德集群的动力学的基础上的自洽非平衡格林函数(NEGF)的方法调用广义Kadanoff-Baym anastrophy(GKBA)的结果。我们详细讨论了Hartree-Fock传播子的GKBA的守恒性质,并给出了Baym和Kadanoff能量守恒准则的推广形式。此外,我们证明了HF-GKBA治愈了先前两次NEGF模拟的一些伪影。此外,这种方法大大加快了数值计算的速度,从而提供了研究相对较大的系统的能力,并将分析扩展到长时间,从而允许通过时间传播精确计算激发光谱。我们在第二玻恩近似下获得的数据与精确对角化结果(最多可用于13个粒子)相比毫不逊色,预计在弱耦合极限下对更大的系统具有预测能力。

英文摘要:

The Hubbard model is a prototype for strongly correlated many-particle systems, including electrons in condensed matter and molecules, as well as for fermions or bosons in optical lattices. While the equilibrium properties of these systems have been studied in detail, the nonequilibrium dynamics following a strong non-perturbative excitation only recently came into the focus of experiments and theory. It is of particular interest how the dynamics depend on the coupling strength and on the particle number and whether there exist universal features in the time evolution. Here, we present results for the dynamics of finite Hubbard clusters based on a selfconsistent nonequilibrium Green functions (NEGF) approach invoking the generalized Kadanoff--Baym ansatz (GKBA). We discuss the conserving properties of the GKBA with Hartree--Fock propagators in detail and present a generalized form of the energy conservation criterion of Baym and Kadanoff for NEGF. Furthermore, we demonstrate that the HF-GKBA cures some artifacts of prior two-time NEGF simulations. Besides, this approach substantially speeds up the numerical calculations and thus presents the capability to study comparatively large systems and to extend the analysis to long times allowing for an accurate computation of the excitation spectrum via time propagation. Our data obtained within the second Born approximation compares favorably with exact diagonalization results (available for up to 13 particles) and are expected to have predictive capability for substantially larger systems in the weak coupling limit.

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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