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Trade-off between inverse lithography mask complexity and lithographic performance

进程窗口 平版印刷术 计算机科学 过程(计算) 光学(聚焦) 半导体器件制造 光学接近校正 集成电路 计算 算法 光学 薄脆饼 材料科学 纳米技术 物理 操作系统
作者
Byung‐Gook Kim,Sung Soo Suh,Byung Sung Kim,Sang-Gyun Woo,Han Ku Cho,Vikram Tolani,Grace Dai,Dave Irby,Kechang Wang,Guangming Xiao,David Kim,Ki‐Ho Baik,Bob Gleason
出处
期刊:Proceedings of SPIE 被引量:52
标识
DOI:10.1117/12.824299
摘要

Improvements in resolution of exposure systems have not kept pace with increasing density of semiconductor products. In order to keep shrinking circuits using equipment with the same basic resolution, lithographers have turned to options such as double-patterning, and have moved beyond model-based OPC in the search for optimal mask patterns. Inverse Lithography Technology (ILT) is becoming one of the strong candidates in 32nm and below single patterning, low-k1 lithography regime. It enables computation of optimum mask patterns to minimize deviations of images from their targets not only at nominal but also over a range of process variations, such as dose, defocus, and mask CD errors. When optimizing for a factor, such as process window, more complex mask patterns are often necessary to achieve the desired depth of focus. Complex mask patterns require more shots when written with VSB systems, increasing the component of mask cost associated with writing time. It can also be more difficult to inspect or repair certain types of complex patterns. Inspection and repair may take more time, or require more expensive equipment compared to the case with simpler masks. For these reasons, we desire to determine the simplest mask patterns that meet necessary lithographic manufacturing objectives. Luminescent ILT provides means to constrain complexity of mask solutions, each of which is optimized to meet lithographic objectives within the bounds of the constraints. Results presented here show trade-offs to process window performance with varying degrees of mask complexity. The paper details ILT mask simplification schemes on contact arrays and random logic, comparing process window trade-offs in each case. Ultimately this method enables litho and mask engineers balance lithographic requirements with mask manufacturing complexity and related cost.
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