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Simultaneous Source Mask Optimization (SMO)

机译:同步源掩模优化(SMO)

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摘要

In this paper, a method for improving the process window is described by simultaneous source mask optimization (SMO). The method optimizes the source and mask of a critical pattern by optimizing the mask in the frequency domain. The minimum image log slope (ILS) is maximized at fragmentation points in the critical pattern while simultaneously maintaining the printing fidelity. The mask optimized in the frequency domain is then converted into a chromeless phase lithography (CPL) mask. The process window with the optimized source and optimized CPL mask doubles the aerial image contrast in comparison to an attenuating PSM with source optimization only. After optimizing the mask and source for a critical pattern, the remaining parts of the full-chip design are optimized with interference mapping. Another technique for optimizing the source for a full chip is presented in which the source is optimized by using the pitch frequency of the design. From the pitch frequency, the source is optimized by solving an integral equation for the first eigenfunction in which the first eigenfunction is calculated from the sum of coherent system (SOCS) representation of the transfer cross coefficient (TCC).
机译:在本文中,描述了一种通过同时进行源掩模优化(SMO)来改善工艺窗口的方法。该方法通过在频域中优化掩模来优化关键图案的源和掩模。最小图像对数斜率(ILS)在关键图案的碎裂点处最大化,同时保持打印保真度。然后将在频域中优化的掩模转换为无铬相位光刻(CPL)掩模。与仅使用源优化的衰减PSM相比,具有优化源和优化CPL掩模的处理窗口使航拍图像对比度翻倍。在针对关键图案优化了掩模和光源之后,利用干扰映射对全芯片设计的其余部分进行了优化。提出了另一种优化全芯片源的技术,其中通过使用设计的基音频率来优化源。根据基音频率,通过求解第一特征函数的积分方程来优化源,在该方程中,第一特征函数是根据传递交叉系数(TCC)的相干系统(SOCS)表示之和计算得出的。

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