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arXiv 2409.06145cond-mat.mtrl-sci
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密度泛函理论交换关联近似在稀土氧化物上的表现

Performance of Exchange-Correlation Approximations to Density-Functional Theory for Rare-earth Oxides

Mary Kathleen Caucci, Jacob T. Sivak, Saeed S. I. Almishal, Christina M. Rost, Ismaila Dabo, Jon-Paul Maria, Susan B. Sinnott

AI总结:

本文系统比较13种DFT交换关联近似在二元稀土氧化物结构、磁性和电子性质预测中的表现,并评估SCAN meta-GGA、Hubbard U修正与自旋-轨道耦合的作用。

摘要:

稀土氧化物(REOs)是一类重要材料,因其独特性质——包括高离子电导率、大介电常数和较高的熔化温度——而在催化、离子传导和传感等多种技术应用中具有相关性。以适中的计算成本预测这些性质的能力,对于指导材料发现和优化材料性能至关重要。尽管密度泛函理论(DFT)是预测电子和原子结构的首选方法,但在描述REOs固有的强电子关联和局域化方面,其准确性受到限制。新开发的强约束且适当归一化(SCAN)meta-广义梯度近似(meta-GGAs)有望在建模这些强关联体系时提高准确性。我们通过比较十三种交换关联近似在预测结构、磁性和电子性质方面的数值准确性,评估了这些meta-GGAs在二元REOs上的表现。研究系统考虑了用于自相互作用误差的Hubbard U修正以及自旋-轨道耦合。我们的综合评估为第一性原理预测的REOs物理性质和泛函性能提供了见解,并为探索这些材料时选择最佳DFT泛函提供了有价值的指导。

英文摘要:

Rare-earth oxides (REOs) are an important class of materials owing to their unique properties, including high ionic conductivities, large dielectric constants, and elevated melting temperatures, making them relevant to several technological applications such as catalysis, ionic conduction, and sensing. The ability to predict these properties at moderate computational cost is essential to guiding materials discovery and optimizing materials performance. Although density-functional theory (DFT) is the favored approach for predicting electronic and atomic structures, its accuracy is limited in describing strong electron correlation and localization inherent to REOs. The newly developed strongly constrained and appropriately normed (SCAN) meta-generalized-gradient approximations (meta-GGAs) promise improved accuracy in modeling these strongly correlated systems. We assess the performance of these meta-GGAs on binary REOs by comparing the numerical accuracy of thirteen exchange-correlation approximations in predicting structural, magnetic, and electronic properties. Hubbard U corrections for self-interaction errors and spin-orbit coupling are systematically considered. Our comprehensive assessment offers insights into the physical properties and functional performance of REOs predicted by first-principles and provides valuable guidance for selecting optimal DFT functionals for exploring these materials.

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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