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New evaluation of reconstructed spatial distribution function from radial distribution functions

机译:基于径向分布函数的重构空间分布函数的新评估

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Although three dimensional (3D) solvation structure is much more informative than one dimensional structure,its evaluation is difficult experimentally and theoretically.In our previous Communication [Yokogawa et al.,J.Chem.Phys.123,211102 (2005)],we proposed a new method to present reconstructed spatial distribution function (RC-SDF) from a set of radial distribution functions (RDFs).In this article,we successfully extended the method more accurately with new basis sets.This new method was applied to two liquid solvation structures,methanol and dimethyl sulfoxide,as examples.Their RC-SDFs evaluated here clearly show that the former solvation structure is well defined while the latter one is broad,which agrees well with the SDFs calculated directly from molecular dynamics simulations.These results indicate that the method can reproduce well these 3D solvation structures in reasonable computational cost.
机译:尽管三维(3D)溶剂化结构比一维结构具有更多的信息,但其评估在实验和理论上都很困难。在我们之前的交流中[Yokogawa et al。,J.Chem.Phys.123,211102(2005)],我们提出了一种从一组径向分布函数(RDF)表示重构空间分布函数(RC-SDF)的新方法。在本文中,我们成功地用新的基集对该方法进行了更精确的扩展。该新方法应用于两种液体此处评估的RC-SDFs清楚地表明,前者的溶剂化结构定义明确,而后者的溶剂化结构较宽,这与直接通过分子动力学模拟计算出的SDFs吻合得很好。该方法可以合理的计算成本很好地重现这些3D溶剂化结构。

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