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OPC development in action for advanced technology nodes

机译:针对高级技术节点的OPC开发实践

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In leading edge technologies, Optical Proximity Correction (OPC) plays a critical role in the total imaging flow. Large investments in terms of time and engineering resources are made to obtain the required models and recipes to get the OPC job done. In the model building area, the metrology component is becoming more and more critical. Questions like which structures to put in a calibration pattern, how to measure, where to measure them, and how often has a serious impact on the calibration dataset, and thus on the final model. Corner rounding starts to become an increasingly important factor in imaging and device performance. Because of this, the model 2D behavior needs to be verified as the least, using reliable metric. In this paper two techniques are described. Finally the cost of model building is discussed. When the number of measurements for a model calibration is considered, available machine time almost always plays a key role. In this paper, a slightly different approach is made on this problem by looking at the cost of the different components of model calibration, and how that is going to progress in the process generations to come.
机译:在前沿技术中,光学邻近校正(OPC)在整个成像流程中扮演着至关重要的角色。在时间和工程资源方面进行了大量投资,以获得所需的模型和配方以完成OPC工作。在模型构建区域中,计量组件变得越来越重要。问题包括将哪些结构放入校准模式,如何进行测量,在何处进行测量以及对校准数据集(从而对最终模型)造成严重影响的频率有多高。圆角倒圆角开始成为成像和设备性能中越来越重要的因素。因此,需要使用可靠的度量标准至少对模型2D行为进行验证。本文介绍了两种技术。最后讨论了模型构建的成本。考虑模型校准的测量次数时,可用的机器时间几乎总是起关键作用。在本文中,通过查看模型校准的不同组件的成本以及在以后的过程中将如何发展,对这个问题采取了略有不同的方法。

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