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Edge Determination for Polycrystalline Silicon Lines on Gate Oxide

机译:栅极氧化物上多晶硅线的边缘测定

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In a scanning electron microscope (SEM) top-down secondary electron image, areas within a few tens of nanometers of the line edges are characteristically brighter than the rest of the image. In general, the shape of the secondary electron signal within such edge regions depends upon the energy and spatial distribution of the electron beam and the sample composition, and it is sensitive to small variations in sample geometry. Assigning edge shape and position is done by finding a model sample that is calculated, on the basis of a mathematical model of the instrument-sample interaction, to produce an image equal to the one actually observed. Edge locations, and consequently line widths, are then assigned based upon this model sample. In previous years we have applied this strategy to lines with geometry constrained by preferential etching of single crystal silicon. With this study we test the procedure on polycrystalline silicon lines. Polycrystalline silicon lines fabricated according to usual industrial processes represent a commercially interesting albeit technically more challenging application of this method. With the sample geometry less constrained a priori, a larger set of possible sample geometries must be modeled and tested for a match to the observed line scan, and the possibility of encountering multiple acceptable matches is increased. For this study we have implemented a data analysis procedure that matches measured image line scans to a precomputed library of sample shapes and their corresponding line scans. Linewidth test patterns containing both isolated and dense lines separated form the underlying silicon substrate by a thin gate oxide have been fabricated. Line scans from test pattern images have been fitted to the library of modeled shapes.
机译:在扫描电子显微镜(SEM)自上而下的二次电子图像中,线边缘的几十纳米的区域比图像的其余部分特征亮。通常,在这种边缘区域内的二次电子信号的形状取决于电子束和样品组合物的能量和空间分布,并且对样品几何体的小变化敏感。通过找到基于仪器 - 样本交互的数学模型来查找计算的模型样本来完成分配边缘形状和位置,以产生等于实际观察到的图像。然后基于该模型样本分配边缘位置,并因此分配线宽。在过去几年中,我们已经将这种策略应用于通过优先蚀刻单晶硅的优先蚀刻而与几何形状进行线条。通过这项研究,我们测试了多晶硅线上的程序。根据通常的工业过程制造的多晶硅线代表了这种方法的商业上更具挑战性。利用样品几何形状的约束优先于优先级,必须对观察线扫描进行建模并测试一组可能的样品几何形状,并且增加了遇到多个可接受匹配的可能性。对于本研究,我们已经实现了一种数据分析过程,该数据分析程序与测量的图像线扫描匹配到预先计算的样本形状库及其相应的线扫描。已经制造了通过薄栅极氧化物通过薄栅极氧化物分离的隔离和密集线的线宽测试图案。从测试模式图像的线路扫描已经安装在建模形状库中。

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