多层 GW+EDMFT 的内部一致性

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Ruslan Mushkaev, Francesco Petocchi, Viktor Christiansson, Philipp Werner
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引用次数: 0

摘要

多层 GW+EDMFT 方案是一种计算相关材料电子结构的非原位方法。虽然该方法不受临时参数的限制,但需要选择适当的能量窗口来描述低能和强相关物理。在本研究中,我们通过考虑一系列立方 SrXO3(X = V、Cr、Mn)包晶石的不同低能窗口,测试了多层描述的一致性。具体来说,我们比较了 3 轨道 t2g 模型、5 轨道 t2g + eg 模型、12 轨道 t2g + Op 模型以及(对于 SrVO3)14 轨道 t2g + eg + Op 模型,并将结果与现有的光发射和 X 射线吸收测量结果进行了比较。多层次方法对 t2g 和 t2g + eg 低能窗口产生了一致的结果,而带有 Op 状态的模型则产生了更强的相关效应,并且与实验结果基本吻合,尤其是在光谱的非占位部分。我们还讨论了费米子和玻色子光谱函数之间的一致性以及卫星特征的物理起源,并提出了动量分辨电荷易感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Internal consistency of multi-tier GW+EDMFT

Internal consistency of multi-tier GW+EDMFT

The multi-tier GW+EDMFT scheme is an ab-initio method for calculating the electronic structure of correlated materials. While the approach is free from ad-hoc parameters, it requires a selection of appropriate energy windows for describing low-energy and strongly correlated physics. In this study, we test the consistency of the multi-tier description by considering different low-energy windows for a series of cubic SrXO3 (X = V, Cr, Mn) perovskites. Specifically, we compare the 3-orbital t2g model, the 5-orbital t2g + eg model, the 12-orbital t2g + Op model, and (in the case of SrVO3) the 14-orbital t2g + eg + Op model and compare the results to available photoemission and X-ray absorption measurements. The multi-tier method yields consistent results for the t2g and t2g + eg low-energy windows, while the models with Op states produce stronger correlation effects and mostly agree well with experiment, especially in the unoccupied part of the spectrum. We also discuss the consistency between the fermionic and bosonic spectral functions and the physical origin of satellite features, and present momentum-resolved charge susceptibilities.

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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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