Semiconductor device yield prediction system and method
    1.
    发明授权
    Semiconductor device yield prediction system and method 失效
    半导体器件产量预测系统及方法

    公开(公告)号:US07945410B2

    公开(公告)日:2011-05-17

    申请号:US11836199

    申请日:2007-08-09

    IPC分类号: G01N37/00 G06F19/00

    CPC分类号: G05B15/02 G05B17/02

    摘要: An average fault ratio is calculated from product characteristics of a product as a target of yield prediction, in order to predict yield accurately in the course of manufacturing the prediction target product.With respect to a reference product, whose wiring pattern is different from the prediction target product but manufactured by the same manufacturing process, a monthly electric fault density is calculated from actually measured data. Respective average fault ratios are obtained from product characteristics of the prediction target product and the reference product. A monthly electric fault density of the prediction target product is obtained by multiplying the monthly electric fault density of the reference product by the ratio of the average fault ratios. The yield is calculated by using the monthly electric fault density of the month in which a yield prediction target lot of the prediction target product was processed.

    摘要翻译: 从作为产量预测目标的产品的产品特性计算平均故障率,以便在制造预测目标产品的过程中准确地预测产量。 对于其参考产品,其布线图案与预测目标产品不同但通过相同的制造工艺制造,每月电故障密度由实际测量数据计算。 相应的平均故障率是从预测目标产品和参考产品的产品特性获得的。 通过将参考产品的每月电气故障密度乘以平均故障率的比率来获得预测目标乘积的每月电气故障密度。 通过使用处理预测目标产品的产量预测目标批次的月份的每月电气故障密度来计算产量。

    Disturbance-Free, Recipe-Controlled Plasma Processing System And Method
    6.
    发明申请
    Disturbance-Free, Recipe-Controlled Plasma Processing System And Method 审中-公开
    无干扰,配方控制的等离子体处理系统和方法

    公开(公告)号:US20090120580A1

    公开(公告)日:2009-05-14

    申请号:US12351159

    申请日:2009-01-09

    IPC分类号: C23F1/08

    摘要: A plasma processing apparatus includes a vacuum processing apparatus for performing a multi-step processing operation for a sample, a sensor for monitoring process parameters during at least a first step of the processing operation, a signal compression unit for compressing a signal from the sensor to generate an apparatus state signal, a worked result estimate model unit which estimates a processed result on the basis of the apparatus state signal and a set processed-result estimation equation, an optimum recipe calculation model unit which calculates corrections to processing conditions so that the processed result becomes a target value, a usable recipe selecting unit which judges validity of an optimum recipe. At a next step of the processing operation, sample processing is performed under optimum conditions on the basis of the usable recipe selected by the selected usable recipe.

    摘要翻译: 等离子体处理装置包括用于对样品进行多步骤处理操作的真空处理装置,用于在处理操作的至少第一步骤中监视处理参数的传感器,用于将来自传感器的信号压缩到 生成装置状态信号,工作结果估计模型单元,其基于装置状态信号和设定的处理结果估计方程估计处理结果;最佳配方计算模型单元,其计算对处理条件的校正,使得处理 结果成为目标值,判定最佳配方的有效性的可用配方选择单元。 在处理操作的下一步骤中,基于由所选择的可用食谱选择的可用食谱,在最佳条件下进行样品处理。

    SEMICONDUCTOR DEVICE YIELD PREDICTION SYSTEM AND METHOD
    7.
    发明申请
    SEMICONDUCTOR DEVICE YIELD PREDICTION SYSTEM AND METHOD 失效
    半导体器件输出预测系统及方法

    公开(公告)号:US20080140330A1

    公开(公告)日:2008-06-12

    申请号:US11836199

    申请日:2007-08-09

    IPC分类号: G06F17/18 G06F19/00

    CPC分类号: G05B15/02 G05B17/02

    摘要: An average fault ratio is calculated from product characteristics of a product as a target of yield prediction, in order to predict yield accurately in the course of manufacturing the prediction target product.With respect to a reference product, whose wiring pattern is different from the prediction target product but manufactured by the same manufacturing process, a monthly electric fault density is calculated from actually measured data. Respective average fault ratios are obtained from product characteristics of the prediction target product and the reference product. A monthly electric fault density of the prediction target product is obtained by multiplying the monthly electric fault density of the reference product by the ratio of the average fault ratios. The yield is calculated by using the monthly electric fault density of the month in which a yield prediction target lot of the prediction target product was processed.

    摘要翻译: 从作为产量预测目标的产品的产品特性计算平均故障率,以便在制造预测目标产品的过程中准确地预测产量。 对于其参考产品,其布线图案与预测目标产品不同但通过相同的制造工艺制造,每月电故障密度由实际测量数据计算。 相应的平均故障率是从预测目标产品和参考产品的产品特性获得的。 通过将参考产品的每月电气故障密度乘以平均故障率的比率来获得预测目标乘积的每月电气故障密度。 通过使用处理预测目标产品的产量预测目标批次的月份的每月电气故障密度来计算产量。