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Fast imaging algorithm for simulation pattern transfer in deep-UV resis and extracting post exposure bake parameters

机译:快速成像算法,用于在深紫外线下模拟图案转移并提取曝光后烘烤参数

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This paper presents a simulator, RIAR (Rapid Imaging Analysis for Resists), for fast imaging resist profiles given a post exposure bake (PEB) model. First, the aerial image profile on the surface of the resist is obtained through SPLAT> Then the image profile is converted into the resist pattern after PEB and develop by solving a given 2-dimemsional PEB model, which is usually a 2-D partial differential equation (PDE) system. The 2-D PDE system is taken as an image tranform and is solved by iteratively approximating the solution with 3-Variable polynomial on space and is much faster than the traditional PDE solver. The time complexity of RIAR and STORM are compared with respect to reaction rate, diffusivity, simulation scale, etc. RIAR achieves a speed up of 5 to 7 times STORM, maintaining the precision. In addition, RIAR consumes much less memory and can simulate domains of 9,000 nodes on a DEC Alpa 600MHz, 256MB DRAM workstation in a reasonable time. An example of applying RIAR in line-end shortening simulation is also given.
机译:本文介绍了一种模拟器RIAR(用于抗蚀剂的快速成像分析),用于在给定曝光后烘烤(PEB)模型的情况下快速成像抗蚀剂轮廓。首先,通过SPLAT>获得抗蚀剂表面的航空图像轮廓>然后将图像轮廓转换为PEB之后的抗蚀剂图案,并通过求解给定的2维PEB模型进行显影,该模型通常为2D偏微分。方程(PDE)系统。二维PDE系统被视为图像变换,通过使用空间上的3变量多项式迭代逼近解来求解,并且比传统的PDE求解器快得多。将RIAR和STORM的时间复杂度在反应速率,扩散率,模拟比例等方面进行了比较。RIAR将STORM的速度提高了5到7倍,并保持了精度。此外,RIAR占用的内存更少,并且可以在合理的时间内在DEC Alpa 600MHz,256MB DRAM工作站上模拟9,000个节点的域。还给出了将RIAR应用到线端缩短仿真中的示例。

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