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arXiv 2502.03213cond-mat.mtrl-sci
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通过优化投影函数和自投影自动生成最大局域化Wannier函数

Automatic Generation of Maximally Localized Wannier Functions via Optimized Projection Functions and Self-projections

Sebastian Tillack, Claudia Draxl

AI总结:

本文提出自动生成最大局域化Wannier函数的方法,利用半酉OPF矩阵梯度的精确表达式并引入自投影,克服标准OPF局限并增强局域化效果。

摘要:

我们提出一种适用于占据态和未占据态的最大局域化Wannier函数(MLWFs)自动化生成方法。通过给出Wannier展宽泛函关于单个半酉OPF矩阵梯度的精确表达式,我们克服了标准优化投影函数(OPF)方法及其近似的局限。此外,我们证明,通过纳入对合理局域化Wannier函数(WFs)的投影,即所谓自投影,所得WFs的局域化程度可进一步提升。

英文摘要:

We present an automatized approach towards maximally localized Wannier functions (MLWFs) applicable to both occupied and unoccupied states. We overcome limitations of the standard optimized projection function (OPF) method and its approximations by providing an exact expression for the gradient of the Wannier spread functional with respect to a single semi-unitary OPF matrix. Moreover, we demonstrate that the localization of the resulting Wannier functions (WFs) can be further improved by including projections on reasonably localized WFs, so-called self-projections.

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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