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Optimize the OPC control recipe with cost function

机译:通过成本函数优化OPC控制配方

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With the design rule shrinks rapidly, full chip robust Optical Proximity Correction (OPC) will definitely need longer time due to the increasing pattern density. Furthermore, to achieve a perfect OPC control recipe becomes more difficult. For, the critical dimension of the design features is deeply sub exposure wavelength, and there is only limited room for the OPC correction. Usually very complicated scripts need to be developed to handle the shrinking designs, which can be infinitely complicated. So when you are defining a parameter value in your OPC control recipe, one problem is how to find the optimum setting. And usually there are a bund of parameters in the script, some of which may have impact on others performance. We here demonstrate an approach of how to find the optimized setting of the critical parameters with cost function. And this will be helpful to reduce the difficulty for OPC recipe development.
机译:随着设计规则的迅速缩小,由于图案密度的增加,全芯片鲁棒的光学邻近校正(OPC)肯定需要更长的时间。此外,实现完美的OPC控制配方变得更加困难。因为,设计特征的关键尺寸是深亚曝光波长,因此OPC校正的空间非常有限。通常,需要开发非常复杂的脚本来处理不断缩小的设计,而这可能是无限复杂的。因此,当您在OPC控制配方中定义参数值时,一个问题就是如何找到最佳设置。通常,脚本中有一堆参数,其中一些参数可能会影响其他参数的性能。我们在这里演示了一种方法,该方法如何使用成本函数找到关键参数的优化设置。这将有助于减少OPC配方开发的难度。

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