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Modeling of defect propagation/growth for yield impact prediction in VLSI manufacturing

机译:预测VLSI制造中的良率影响的缺陷传播/生长模型

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Abstract: Particulate contamination deposited on silicon wafers is typically the dominant reason for yield loss in VLSI manufacturing. The translation of contaminating particles into defects and then electrical faults is a very complex process which depends on the defect location, size, material and the underlying IC topography. A rigorous topography simulator, METROPOLE, has been developed to allow the prediction and correlation of the critical physical parameters (material, size and location) of contamination in the manufacturing process to device defects. The results for a large number of defect samples simulated using the above approach were compared with data gathered from the AMD- Sunnyvale fabline. A good match was obtained indicating the accuracy of this method which provided a framework for developing contamination to defect propagation/growth macromodels. We have demonstrated that the understanding of defect transformation can be applied to early yield impact prediction.!9
机译:摘要:在VLSI制造中,沉积在硅片上的微粒污染通常是导致成品率下降的主要原因。将污染颗粒转化为缺陷,然后将电气故障转化为非常复杂的过程,这取决于缺陷的位置,大小,材料和基础的IC形貌。已开发出严格的地形模拟器METROPOLE,以预测制造过程中污染物的关键物理参数(材料,尺寸和位置)与设备缺陷之间的关系并进行预测。将使用上述方法模拟的大量缺陷样品的结果与从AMD Sunnyvale fabline收集的数据进行了比较。获得了很好的匹配结果,表明该方法的准确性,为为缺陷传播/生长宏观模型发展污染提供了框架。我们已经证明,对缺陷转化的理解可以用于早期产量影响预测。9

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