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Non-Gaussian Diffusion of Phosphorus and Arsenic in Silicon with Local Density Diffusivity Model

机译:局部密度扩散模型的硅中磷和砷的非高斯扩散

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In the light of published phosphorus and arsenic diffusion profiles [1,2] a non-Gaussian mathematical diffusion model is developed in this work based on separate forward and reflected impurity diffusion flows and called local density diffusion (LDD) model. The LDD model includes the rational function diffusion (RFD) model published in [3] and represents an improvement for near surface and tail concentration profile slope approximation by introducing just one single empirical fit parameter "r". This single fit parameter is related to the given combination of impurity species (phosphorus: r=0.18; arsenic: r=0.43) in the applied host lattice system (silicon), but does not vary while approximating different experiments with different impurity surface concentrations and penetration depths [1,2]. Based on the LDD approximation in this work a surface enhanced diffusivity for phosphorus and a tail decelerated diffusion for arsenic is suggested in comparison to RFD model approximation only. The local density diffusivity is found to be non-linear along the penetration path and reaches its maximum at a distance LDD from the surface.
机译:根据已发表的磷和砷扩散曲线[1,2],在这项工作中,基于单独的正向和反射杂质扩散流,开发了一种非高斯数学扩散模型,称为局部密度扩散(LDD)模型。 LDD模型包括在[3]中发布的有理函数扩散(RFD)模型,并且通过仅引入一个单一的经验拟合参数“ r”,代表了近表面和尾部浓度分布斜率逼近的一种改进。该单一拟合参数与所应用的主晶格系统(硅)中给定的杂质种类组合(磷:r = 0.18;砷:r = 0.43)有关,但在近似于具有不同杂质表面浓度和穿透深度[1,2]。与仅使用RFD模型近似相比,建议在这项工作中基于LDD近似,建议提高磷的表面扩散率,并降低砷的尾减速扩散。发现局部密度扩散率沿着穿透路径是非线性的,并且在距表面的距离LDD处达到其最大值。

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