论文标题
电荷缺陷计算中的图像充电相互作用校正
Image charge interaction correction in charged-defect calculation
论文作者
论文摘要
使用周期性超级电池进行的充电缺失计算是固态物理学中的一系列重要问题。但是,有限的超级电池尺寸诱导了不良的远程图像电荷库仑相互作用。尽管已经提出了各种方法来消除这种图像库仑相互作用,但以前的大多数方案都是基于对缺陷电荷筛选的粗略近似。在这项工作中,我们通过新的缺陷筛选模型提出了图像电荷相互作用的严格推导,可以避免使用散装宏观介电常数。与12种不同缺陷的广泛使用方法相比,我们已经验证了这种方法。我们的校正方案提供了有关具有相当大图像电荷相互作用的案例的超级电池尺寸的更快收敛性。在这种情况下,我们还发现非线性介电筛选可能起重要作用。提出的新缺陷筛选模型还将为了解缺陷筛选属性提供新的启示,并可以应用于其他缺陷系统。
Charged-defect calculation using a periodic supercell is a significant class of problems in solid state physics. However, the finite supercell size induces an undesirable long-range image charge Coulomb interaction. Although a variety of methods have been proposed to eliminate such image Coulomb interaction, most of the previous schemes are based on a rough approximation of the defect charge screening. In this work, we present a rigorous derivation of the image charge interaction with a new defect screening model where the use of bulk macroscopic dielectric constant can be avoided. We have verified this approach in comparison with a widely used approach for 12 different defects. Our correction scheme offers a much faster convergence concerning the supercell size for cases with considerable image charge interactions. In those cases, we also found that the nonlinear dielectric screening might play an important role. The proposed new defect screening model will also shed new light on understanding the defect screening properties and can be applied to other defect systems.