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A Model Based OPC Methodology for 0.13 Micron Technology

机译:基于模型的OPC方法论,用于0.13微米技术

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摘要

As we move towards smaller dimensions and denser circuits, Model Based OPC has become a critical and indispensable tool to achieve feature fidelity for random logic and very small bitcell patterns. Model-Based OPC is used to overcome the effects due to the reticle manufacturing process and the photolithography process which are essentially low pass filters, with the objective of returning the intended drawn feature on wafer within acceptable error. In this paper we demonstrate its capabilities and flexibility with the development of a mixed Model-based/Rule based OPC approach that covers all categories of features for the active layer and the heuristics that justify this approach. We discuss along with experimental results the parameterized variations that are possible with Model Based OPC (MBOPC) and the optimization required as a result within the paradigm of a 248nm-lithography process for the 0.13-micron technology. Data and manufactureability issues are discussed that are an important consideration for a feasible MBOPC solution.
机译:随着我们朝着更小尺寸和更密集的电路发展,基于模型的OPC已成为实现随机逻辑和非常小的位单元模式的特征保真度的关键且必不可少的工具。基于模型的OPC用于克服掩模版制造工艺和光刻工艺带来的影响,这些工艺本质上是低通滤波器,目的是在可接受的误差范围内将预期的绘制特征返回到晶圆上。在本文中,我们通过开发基于模型/基于规则的混合OPC方法来展示其功能和灵活性,该方法涵盖了活动层的所有功能类别以及证明该方法合理的启发式方法。我们将与实验结果一起讨论基于模型的OPC(MBOPC)可能产生的参数化变化,以及在针对0.13微米技术的248nm光刻工艺范式内进行结果优化所需的优化。讨论了数据和可制造性问题,这些问题是可行的MBOPC解决方案的重要考虑因素。

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