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首页> 外文期刊>Journal of chemical theory and computation: JCTC >Automatic Differentiation of the Energy within Self-consistent Tight-Binding Methods
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Automatic Differentiation of the Energy within Self-consistent Tight-Binding Methods

机译:自洽紧密结合方法中能量的自动区分

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摘要

We present and implement the calculation of analytical n-order geometric derivatives of the energy obtained within the framework of the density functional based tight binding approach. The use of automatic differentiation techniques allows a unique implementation for the calculation of derivatives up to any order providing that the computational facilities are sufficient. As first applications, the derivatives are used to build an analytical potential energy surface around the optimized geometry of acetylene. We also discuss the relevant anharmonic contributions that have to be considered when building such an analytical potential energy surface for acetylene, ethylene, ethane, benzene, and naphtalene.
机译:我们提出并实现了基于密度泛函紧结合方法框架内获得的能量的解析n阶几何导数的计算。自动微分技术的使用允许一种独特的实现方式,只要计算能力足够,就可以计算任意数量的导数。作为首个应用,这些衍生物用于在乙炔的最佳几何形状周围建立分析势能表面。我们还将讨论在构建乙炔,乙烯,乙烷,苯和萘的分析势能面时必须考虑的相关非谐贡献。

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