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A systematic approach for extracting verification patterns from an OPC test mask

机译:一种从OPC测试模板中提取验证图案的系统方法

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Optical Proximity Correction (OPC) is a crucial step in Semiconductor manufacturing for technology of dimensionsbelow the exposure wavelength. Light from the exposure source is diffracted when passing through mask dimensionsbelow the exposure wavelength causing patterns on wafer to differ from the intent patterns. During OPC the designintent layout patterns are modified to compensate for light diffractions so that the final wafer patterns match the designintent patterns. OPC achieves this by using OPC models that model the optical conditions, resist, and etch behavior; andan OPC recipe that controls the patterns modification process. The OPC models are calibrated from test mask structuresthat are developed, exposed and measured when starting to set up the manufacturing process.Structures chosen to be placed on the test mask have a great impact on the capability to predict future layout patterns thatwere not present in the original test mask, referred to as model coverage. Test masks are usually composed of patternsused in model calibration and others used for verifying the calibrated model. In advanced technology nodes, both thefeature size and the error budget are being shrunk. Hence to reach the best model coverage with acceptable accuracy, weneed to ensure that the test mask contains all the possible structures in the real designs, while maintaining that thenumber of patterns does not consume long metrology tools time, cause extra overhead cost to the process, or delay thedevelopment cycle.This paper presents a systematic approach to optimize the number of patterns to be included in the test mask and splittest patterns into calibration and verification patterns. Results from using the proposed method are compared to othermethods of splitting that are based either on geometrical or random methods. The approach provided a significantreduction in model calibration time, the number of needed patterns in the test mask, and the total development processturn-around time; while maintaining the same accuracy that can be achieved from the original test patterns set.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:对于低于曝光波长的尺寸技术,光学邻近校正(OPC)是半导体制造中的关键步骤。当通过低于曝光波长的掩模尺寸时,来自曝光源的光会发生衍射,从而导致晶圆上的图案与意图图案不同。在OPC期间,修改设计意图的布局图案以补偿光衍射,以使最终的晶圆图案与设计意图的图案匹配。 OPC通过使用对光学条件,抗蚀剂和蚀刻行为建模的OPC模型来实现这一目标。和控制图案修改过程的OPC配方。 OPC模型是根据在开始建立制造过程时经过显影,曝光和测量的测试掩模结构进行校准的。选择放置在测试掩模上的结构对预测将来在布局中不存在的布局图案的能力有很大影响。原始测试蒙版,称为模型覆盖率。测试模板通常由模型校准中使用的图案以及用于验证校准模型的其他图案组成。在高级技术节点中,功能大小和错误预算都在缩小。因此,为了以可接受的精度达到最佳的模型覆盖范围,我们需要确保测试模板包含实际设计中的所有可能结构,同时要确保图案数量不会消耗较长的度量工具时间,从而给流程造成额外的间接费用,本文提出了一种系统的方法来优化要包括在测试模板中的图案数量,并将测试图案分为校准和验证图案。使用提议的方法的结果与基于几何或随机方法的其他分裂方法进行了比较。该方法大大减少了模型校准时间,测试模板中所需图案的数量以及总开发过程的周转时间;同时保持与原始测试模式集相同的精度。©(2012)版权所有,美国光电仪器工程师学会(SPIE)。摘要的下载仅允许个人使用。

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