Dense plasmas occur in stars, giant planets, and in inertial fusion experiments. Accurate modeling of the electronic structure of these plasmas allows for prediction of material properties that can in turn be used to simulate these astrophysical objects and terrestrial experiments. But modeling them remains a challenge. Here we explore the Korringa-Kohn-Rostoker Green's function (KKR-GF) method for this purpose. We find that it is able to predict equation of state in good agreement with other state-of-the-art methods, where they are accurate and viable. In addition, it is shown that the computational cost does not significantly change with temperature, in contrast with other approaches. Moreover, the method does not use pseudopotentials—core states are calculated self consistently. We conclude that KKR-GF is a very promising method for dense plasma simulation.

中文翻译：

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密集等离子体的多重散射理论

稠密等离子体发生在恒星，巨型行星和惯性聚变实验中。这些等离子体的电子结构的准确建模可以预测材料特性，进而可以用来模拟这些天体物体和地面实验。但是对它们建模仍然是一个挑战。在这里，我们探讨了用于此目的的Korringa-Kohn-Rostoker Green函数（KKR-GF）方法。我们发现它能够与状态准确且可行的其他最新方法很好地预测状态方程。此外，与其他方法相比，表明计算成本不会随温度显着变化。此外，该方法不使用伪势-核心状态是自洽地计算的。