arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1707.02161cond-mat.mtrl-scicond-mat.str-el
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稀土镍酸盐$R$ NiO $_3$ within DFT + $U$中呼吸模畸变与磁序的相互作用

Interplay between breathing mode distortion and magnetic order in rare-earth nickelates $R$NiO$_3$ within DFT+$U$

Alexander Hampel, Claude Ederer

摘要:

我们提出了一个系统的密度泛函理论(DFT)加哈伯德$U$研究的结构趋势和不同的磁有序状态的稳定性,整个稀土镍酸盐系列,$R$ NiO $_3$,与$R$从Lu到La。特别是,我们调查如何磁秩序,稀土离子的变化,和哈伯德相互作用$U$影响镍网站之间的键长partiationation。我们的研究结果表明,可以得到的结构参数是非常好的协议与目前的实验数据,和DFT+ $U$是在原则上能够捕捉到最重要的结构趋势的镍酸盐系列。然而,键长伸缩的幅度非常强烈地依赖于用于Hubbard $U$参数的特定值,也依赖于计算中施加的磁序的类型。关于不同磁序的相对稳定性,与实验观察一致的实际反铁磁序对于小的$U$值是有利的,并且与朝向系列末端的铁磁状态(即,朝向$R$ =Pr)。然而,似乎铁磁态的稳定性通常被高估的DFT+ $U$计算。我们的工作为更详细的实验研究提供了一个深刻的起点,也为未来使用更先进的计算技术的研究提供了一个深刻的起点,例如,DFT结合动力学平均场论。

英文摘要:

We present a systematic density functional theory (DFT) plus Hubbard $U$ study of structural trends and the stability of different magnetically ordered states across the rare-earth nickelate series, $R$NiO$_3$, with $R$ from Lu to La. In particular, we investigate how the magnetic order, the change of the rare-earth ion, and the Hubbard interaction $U$ are affecting the bond-length disproportionation between the nickel sites. Our results show that structural parameters can be obtained that are in very good agreement with present experimental data, and that DFT+$U$ is in principle able to capture the most important structural trends across the nickelate series. However, the amplitude of the bond-length disproportionation depends very strongly on the specific value used for the Hubbard $U$ parameter and also on the type of magnetic order imposed in the calculation. Regarding the relative stability of different magnetic orderings, a realistic antiferromagnetic order, consistent with the experimental observations, is favored for small $U$ values, and becomes more and more favorable compared to the ferromagnetic state towards the end of the series (i.e., towards $R$=Pr). Nevertheless, it seems that the stability of the ferromagnetic state is generally overestimated within the DFT+$U$ calculations. Our work provides a profound starting point for more detailed experimental investigations, and also for future studies using more advanced computational techniques such as, e.g., DFT combined with dynamical mean-field theory.

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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