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Equilibrium configurations of large nanostructures using the embedded saturated-fragments stochastic density functional theory

机译:使用嵌入式饱和片段随机密度函数理论平衡大纳米结构的配置

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An ab initio Langevin dynamics approach is developed based on stochastic density functional theory (sDFT) within a new embedded saturated fragment formalism, applicable to covalently bonded systems. The forces on the nuclei generated by sDFT contain a random component natural to Langevin dynamics, and its standard deviation is used to estimate the friction term on each atom by satisfying the fluctuation-dissipation relation. The overall approach scales linearly with the system size even if the density matrix is not local and is thus applicable to ordered as well as disordered extended systems. We implement the approach for a series of silicon nanocrystals (NCs) of varying size with a diameter of up to 3 nm corresponding to N-e = 3000 electrons and generate a set of configurations that are distributed canonically at a fixed temperature, ranging from cryogenic to room temperature. We also analyze the structure properties of the NCs and discuss the reconstruction of the surface geometry. Published by AIP Publishing.
机译:AB Initio Langevin动力学方法是基于随机密度泛函理论(SDFT)开发的新型嵌入式饱和片段形式主义,适用于共价键合系统。由SDFT产生的核上的力含有自然对Langudvin动力学的随机分量自然,并且其标准偏差通过满足波动耗散关系来估计每个原子上的摩擦术语。即使密度矩阵不是本地的,整体方法也与系统尺寸线性缩放,因此适用于有序以及无序的扩展系统。我们对不同尺寸的一系列硅纳米晶体(NCS)的方法实施了直径,直径为NE = 3000个电子,并产生一组配置,该配置在固定温度下分布在固定温度,从低温到房间温度。我们还分析了NCS的结构特性,并讨论了表面几何形状的重建。通过AIP发布发布。

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