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Surface mechanisms in low-temperature plasma deposition of silicon.

机译:硅低温等离子体沉积中的表面机制。

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Dynamic scaling of surface roughness evolution during plasma deposition of amorphous silicon is utilized to characterize surface transport mechanisms. Different surface transport mechanisms leave distinct imprints in the surface that can be distinguished through fractal analysis. Surface roughness is characterized using atomic force microscopy (AFM) and the static and dynamic scaling coefficients α and β and the lateral correlation length Lc are extracted from the evolution of surface roughness and are used to identify surface mechanisms. Values of α = 1.0 and β = 0.3 have been obtained, which reveal that surfaces are smoothed through surface diffusion during film growth. Temperature dependence of the Lc is used to calculate diffusion barriers with values around 0.2 eV, consistent with the diffusion of a weakly bound physisorbed species. The effects of process conditions such as substrate temperature, diluent gases composition, process pressure, RF power density, and reactor configuration on the scaling parameters have been investigated. An amorphous silicon kinetic growth model has been developed that incorporates surface coverage dependent diffusion barriers. The model reproduces most experimentally observed results, although some deposition conditions are identified where the model is not valid.
机译:利用非晶硅的等离子体沉积过程中表面粗糙度演变的动态缩放来表征表面传输机制。不同的表面传输机制会在表面留下不同的印记,可以通过分形分析来区分它们。使用原子力显微镜(AFM)表征表面粗糙度,并从表面粗糙度的演变过程中提取静态和动态缩放系数α和β以及横向相关长度L c 并用于识别表面机理。已获得α= 1.0和β= 0.3的值,这表明在膜生长过程中通过表面扩散可以使表面光滑。 L c 的温度依赖性用于计算扩散势垒,其值约为0.2 eV,与弱结合的物理吸附物质的扩散一致。研究了工艺条件(例如衬底温度,稀释气体成分,工艺压力,RF功率密度和反应器配置)对缩放参数的影响。已经开发了非晶硅动力学生长模型,该模型结合了依赖于表面覆盖的扩散势垒。该模型重现了大多数实验观察到的结果,尽管在该模型无效的地方发现了一些沉积条件。

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