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Predicting Material Parameters for Intrinsic Point Defect Diffusion in Silicon Crystal Growth

机译:预测硅晶体生长中本征点缺陷扩散的材料参数

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The incorporation of intrinsic point defects into a growing crystal and their subsequent agglomeration into larger defects are controlled by the solidification and subsequent cooling process. The evolution of intrinsic point defects in Silicon can generally be described by a system of reaction-diffusion equations for the concentration of self-mterstitials and vacancies. The main difficulty in quantitative intrinsic point defect prediction with such an approach is the uncertainty of the temperature-dependent material properties. These properties are generally unknown. This is due to the difficulty to measure them experimentally at high temperatures. To circumvent this problem these properties can be computed by an underlying microscopic model by means of molecular dynamics simulations. A potential due to Stillinger and Weber or, alternatively, a many-body potential due to Tersoff is applied for this purpose. The calculated material data for these potentials as well as intrinsic defect concentrations during the Czochralski growth of silicon are presented. A transient process simulation with varying process conditions is performed and the influence on the intrinsic defect concentrations in the crystal is shown.
机译:通过凝固和随后的冷却过程来控制将本征点缺陷掺入到正在生长的晶体中,并将​​其随后的团聚成较大的缺陷。硅中本征点缺陷的演化通常可以通过自扩散和空位浓度的反应扩散方程组来描述。用这种方法进行定量本征点缺陷预测的主要困难是取决于温度的材料性能的不确定性。这些属性通常是未知的。这是由于难以在高温下通过实验测量它们。为了解决这个问题,可以通过分子动力学模拟通过潜在的微观模型计算这些特性。为此,应用了斯蒂林格和韦伯产生的电势,或者由于特尔索夫产生的多体电势。列出了计算出的这些电势的材料数据以及硅在切克劳斯基生长过程中固有的缺陷浓度。进行了具有变化工艺条件的瞬态工艺仿真,并显示了其对晶体中固有缺陷浓度的影响。

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