Eric Macke*, Iurii Timrov, Nicola Marzari and Lucio Colombi Ciacchi,
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引用次数: 0
摘要
我们介绍了哈伯德 U 修正对密度泛函理论(DFT)的轨道分辨扩展。与传统的壳平均方法相比,对能量、电子和结构特性的预测得到了极大的改善,特别是对于哈伯德流形中同时存在局域态和杂化态的化合物。所有哈伯德参数的数值都可以通过线性响应计算轻松获得。通过将这种更精细的方法应用于块状固体黄铁矿(FeS2)和焦绿泥石(β-MnO2)以及六种铁(II)分子配合物,我们看到了这种方法的实用性。我们的研究结果表明,要将 DFT+U 的适用性扩展到目前的范围之外,就必须仔细定义哈伯德流形。本轨道分辨方案旨在为电荷转移绝缘体、过渡金属(TM)复合物和其他显示出显著轨道杂化的化合物的电子结构计算提供一种计算要求低但精确的工具。
We present an orbital-resolved extension of the Hubbard U correction to density-functional theory (DFT). Compared to the conventional shell-averaged approach, the prediction of energetic, electronic and structural properties is strongly improved, particularly for compounds characterized by both localized and hybridized states in the Hubbard manifold. The numerical values of all Hubbard parameters are readily obtained from linear-response calculations. The relevance of this more refined approach is showcased by its application to bulk solids pyrite (FeS2) and pyrolusite (β-MnO2), as well as to six Fe(II) molecular complexes. Our findings indicate that a careful definition of Hubbard manifolds is indispensable for extending the applicability of DFT+U beyond its current boundaries. The present orbital-resolved scheme aims to provide a computationally undemanding yet accurate tool for electronic structure calculations of charge-transfer insulators, transition-metal (TM) complexes and other compounds displaying significant orbital hybridization.
期刊介绍:
The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.