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OPC development in action for advanced technology nodes

机译:APC开发在高级技术节点的行动中

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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:在前导技术中,光学邻近校正(OPC)在总成像流中起着关键作用。在时间和工程资源方面进行大型投资,以获取所需的型号和食谱,以完成OPC作业。在模型建筑面积中,计量分量变得越来越厉症。校准模式的结构(如何测量)的结构(如何测量它们)以及如何对校准数据集产生严重影响,因此在最终模型上进行严重影响。角落舍入开始成为成像和设备性能的越来越重要的因素。因此,需要使用可靠的度量来验证模型2D行为。本文描述了两种技术。最后讨论了模型建筑的成本。当考虑模型校准的测量次数时,可用的机器时间几乎始终始终扮演关键角色。在本文中,通过查看模型校准的不同组成部分的成本以及将如何在进程中进入的过程中的成本略有不同的方法。

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