研究在基于反向光刻技术的 90 纳米光掩膜生成中使用 U-Net、Erf-Net 和 DeepLabV3 架构的效率

I. M. Karandashev, G. S. Teplov, A. A. Karmanov, V. Keremet, A. Kuzovkov
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Investigating the Efficiency of Using U-Net, Erf-Net and DeepLabV3 Architectures in Inverse Lithography-based 90-nm Photomask Generation
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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
25
期刊介绍: The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.
期刊最新文献
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