Neural networks as a statistical model for optical scatterometry

I. Kallioniemi, J. Saarinen, E. Oja
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Abstract

The advancement of new lithography techniques, such as electron-beam lithography and x-ray lithography, has enabled the fabrication of diffractive optical elements (DOEs) with feature sizes of the order of hundreds of nanometers and even less. There is also a continuous trend towards smaller line widths and higher packaging densities in memory cells and other semiconductor devices. Most of the elements are still done successfully by UV lithography which is still in the development stage in the deep UV region.
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神经网络作为光学散射测量的统计模型
新型光刻技术的进步,如电子束光刻和x射线光刻,使得制造特征尺寸为数百纳米甚至更小的衍射光学元件(do)成为可能。在存储单元和其他半导体器件中,也有一个持续的趋势,即更小的线宽和更高的封装密度。紫外光刻技术在深紫外区仍处于发展阶段,目前仍能成功地完成大部分元素。
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