论文标题

大范围的半经典自洽的平均原子模型

A wide-range semiclassical self-consistent average atom model

论文作者

Polyukhin, A. S., Dyachkov, S. A., Levashov, P. R.

论文摘要

在极端物理发展至关重要的极端物质特性的发现需要最先进的实验设施,理论和计算。如今,可以使用最新的密度功能理论(DFT)或路径综合蒙特 - 卡洛(PIMC)在这种条件下对物质的性质进行建模。但是,这些方法的基本和计算局限性阻碍了它们的实际用法,而血浆的宽范围热力学和传输模型则需要。结果,今天的普通原子(AA)框架仍然很重要,最近吸引了越来越多的关注。通常使用Thomas-Fermi(TF),Hartree- fock(HF),Kohn--Sham(KS)方法或其扩展来获得原子细胞中的自洽场和电子密度。在这项研究中,我们介绍了AA模型,其中将半经典波函数用于结合状态,而自由电子则由具有热力学一致的能量边界的TF模型近似。该模型在温度和压力的各个区域与参考数据进行了比较:SAHA模型的稀有等离子体,用于温暖密集物质的DFT和实验性休克Hugoniot数据。已经证明,单个AA模型可以与已建立的技术以低计算成本以及自洽场的稳定收敛提供合理的协议。

Discovery of material properties at extremes, which are essential for high energy density physics development, requires the most advanced experimental facilities, theories, and computations. Nowadays it is possible to model properties of matter in such conditions using the state-of-the-art density functional theory (DFT) or path-integral Monte--Carlo (PIMC) approaches with remarkable precision. However, fundamental and computational limitations of these methods impede their practical usage while wide-range thermodynamic and transport models of plasma are required. As a consequence, an average atom (AA) framework is still relevant today and has been attracting more and more attention lately. The self-consistent field and electron density in an atomic cell is usually obtained using the Thomas--Fermi (TF), Hartree--Fock (HF), Kohn--Sham (KS) approaches, or their extensions. In this study we present the AA model, where semiclassical wave functions are used for bound states, while free electrons are approximated by the TF model with a thermodynamically consistent energy boundary. The model is compared in various regions of temperatures and pressures with the reference data: Saha model for rarefied plasma, DFT for warm dense matter, and experimental shock Hugoniot data. It is demonstrated that a single AA model may provide a reasonable agreement with the established techniques at low computational cost and with stable convergence of the self-consistent field.

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