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Developing and implementing an advanced CMP run-to-run controller

机译:开发和实施高级CMP运行到运行控制器

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An innovative model for R2R control of CMP processes was developed based on the Mesa microscale polish simulator. The model accurately predicts planarization rate―that is, the polishing of high wafer-surface features relative to low features as a function of critical recipe variables (e.g., polishing time, downforce, and platen speed) and important incoming product characteristics (e.g., prepolish feature height and pattern density). In addition, the model captures the nonlinear dependence of planarization rate on polishing time. The model represents a significant improvement over typical CMP control models, which employ a rudimentary description of polishing rate as constant over polishing time and do not model downforce, platen speed, or critical product characteristics such as feature height and density. The new R2R controller provides an accurate, device-dependent prediction of planarization rate on new products before the first polish. It tracks the state of the CMP tool across recipes with differing downforces and platen speeds, enabling the automated system to update the controller consistently. Moreover, by correctly describing the nonlinear dependence of planarization rate on polishing time, the system can automate the calculation of the polishing time required to rework underpolished wafers.
机译:基于Mesa微型抛光模拟器,开发了用于CMP过程的R2R控制的创新模型。该模型准确地预测了平坦化率,也就是说,根据关键配方变量(例如抛光时间,下压力和压板速度)和重要的传入产品特性(例如预抛光),对高晶圆表面特征相对于低特征的抛光特征高度和图案密度)。另外,该模型捕获了平坦化速率对抛光时间的非线性依赖性。该模型代表了对典型CMP控制模型的重大改进,后者采用了基本的抛光速率描述,即在整个抛光时间内保持不变,并且不对下压力,压板速度或关键产品特性(例如特征高度和密度)建模。新的R2R控制器可在首次抛光之前对新产品的平面化速率提供准确的,取决于设备的预测。它以不同的下压力和压板速度跟踪配方中的CMP工具状态,从而使自动化系统能够一致地更新控制器。此外,通过正确描述平面化速率对抛光时间的非线性依赖性,该系统可以自动计算对抛光不足的晶片进行返工所需的抛光时间。

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