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与全球和本地代表的对比学习,用于混合型晶圆缺陷识别

Shantong Yin1, Yangkun Zhang1, Rui Wang1

  • 1School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
概括

本研究介绍了一种自我监督的对比学习框架,用于识别半导体晶圆缺陷模式. 该模型有效地分类和细分混合缺陷,即使有有限的标记数据,提高效率和质量.

关键词:
相反的学习学习学习.模式分类和细分模式的分类和细分.晶圆桶地图 晶圆桶地图

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Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...