Development of SiGe Indentation Process Control to Enable Stacked Nanosheet FET Technology

D. Kong, D. Schmidt, M. Breton, A. A. de la peña, J. Frougier, A. Greene, Jingyun Zhang, V. Basker, N. Loubet, I. Ahsan, A. Cepler, M. Klare, Marjorie Cheng, R. Koret, I. Turovets
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引用次数: 3

Abstract

The methodology of measuring the lateral etch, or indentation, of SiGe nanosheets by using optical scatterometry, x-ray fluorescence, and machine learning algorithms is presented and discussed. Stacked nanosheet device structures were fabricated with different etch conditions in order to induce variations in the indent. It was found that both scatterometry in conjunction with Spectral Interferometry and novel interpretation algorithms as well as TEM calibrated LE-XRF are suitable techniques to quantify the indent. Machine learning algorithms enabled an additional solution path by combining LE-XRF data with scatterometry spectra therefore avoiding the need for a full optical model.
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开发SiGe压痕过程控制以实现堆叠奈米片场效应管技术
提出并讨论了利用光学散射测量、x射线荧光和机器学习算法测量SiGe纳米片的横向蚀刻或压痕的方法。在不同的蚀刻条件下制备了堆叠纳米片器件结构,以诱导压痕的变化。研究发现,结合光谱干涉法的散射测量和新的解释算法以及TEM校准的LE-XRF都是量化压痕的合适技术。机器学习算法通过将LE-XRF数据与散射测量光谱相结合,实现了额外的解决路径,从而避免了对完整光学模型的需要。
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