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Investigating the Performance of Directional Boundary Layer Modelthrough Staged Modeling Method

机译:调查定向边界层建模型号建模方法的性能

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Generally speaking, the models used in the optical proximity effect correction (OPC) can be divided into three parts, mask part, optic part, and resist part. For the excellent quality of the OPC model, each part has to be described by the first principles. However, OPC model can't take the all of the principles since it should cover the full chip level calculation during the correction. Moreover, the calculation has to be done iteratively during the correction until the cost function we want to minimize converges. Normally the optic part in OPC model is described with the sum of coherent system (SOCSt11) method. Thanks to this method we can calculate the aerial image so fast without the significant loss of accuracy. As for the resist part, the first principle is too complex to implement in detail, so it is normally expressed in a simple way, such as the approximation of the first principles, and the linear combinations of factors which is highly correlated with the chemistries in the resist. The quality of this kind of the resist model depends on how well we train the model through fitting to the empirical data. The most popular way of making the mask function is based on the Kirchhoff s thin mask approximation. This method works well when the feature size on the mask is sufficiently large, but as the line width of the semiconductor circuit becomes smaller, this method causes significant error due to the mask topography effect. To consider the mask topography effect accurately, we have to use rigorous methods of calculating the mask function, such as finite difference time domain (FDTD[21) and rigorous coupled-wave analysis (RCWAE31). But these methods are too time-consuming to be used as a part of the OPC model. Until now many alternatives have been suggested as the efficient way of considering the mask topography effect. Among them we focused on the boundary layer model (BLM) in this paper. We mainly investigated the way of optimization of the parameters for the BLM since the feasibility of the BLM has been investigated in many papers[41[51[61. Instead of fitting the parameters to the wafer critical dimensions (CD) directly, we tried to use the aerial image (AI) from the rigorous simulator with the electromagnetic field (EMF) solver. Usually that kind of method is known as the staged modeling method. To see the advantages of this method we conducted several experiments and observed the results comparing the method of fitting to the wafer CD directly. Through the tests we could observe some remarkable results and confirmed that the staged modeling had better performance in many ways.
机译:一般而言,光学接近效果校正(OPC)中使用的模型可分为三个部分,掩模部分,光学部分和抗蚀剂部分。对于OPC模型的优异质量,每个部分必须由第一个原则描述。但是,OPC模型不能采取所有原则,因为它应该在校正过程中涵盖全芯片级计算。此外,必须在校正期间迭代地进行计算,直到我们想要最小化收敛的成本函数。通常,使用相干系统(SOCST11)方法的总和描述OPC模型中的光学部分。由于这种方法,我们可以如此快地计算空中图像,而无需显着损失精度。至于抗蚀剂部分,第一原理太复杂,以详细实施,因此通常以简单的方式表达,例如第一原理的近似,以及与化学中高度相关的因子的线性组合抗蚀剂。这种抗蚀模式的质量取决于我们如何通过拟合经验数据训练模型。制作掩模功能最受欢迎的方式是基于Kirchhoff S薄掩模近似。当掩模上的特征尺寸足够大时,这种方法很好,但随着半导体电路的线宽变小,该方法由于掩码形貌效应而导致显着的误差。要准确地考虑掩模地形效果,我们必须使用计算掩模功能的严格方法,例如有限差分时域(FDTD [21)和严格耦合波分析(RCWAE31)。但这些方法太耗时,用作OPC模型的一部分。到目前为止,已经提出了许多替代方案作为考虑掩模地形效应的有效方法。其中我们专注于本文的边界层模型(BLM)。我们主要研究了BLM的参数优化的方式,因为在许多论文中已经研究了BLM的可行性[41 [51 [61]代替拟合参数到晶片的临界尺寸(CD)的直接,我们试图从严格模拟器与电磁场(EMF)求解器使用空间像(AI)。通常,这种方法被称为阶段建模方法。为了了解这种方法的优点,我们进行了几个实验,并观察结果将其直接与晶片CD配合的方法进行比较。通过测试,我们可以观察一些显着的结果,并确认课程建模在许多方面具有更好的性能。

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