Machine learning approach to thickness prediction from<i>in situ</i>spectroscopic ellipsometry data for atomic layer deposition processes

Research article (Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, 2021) · cited 18× · AI/ML
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Machine learning approach to thickness prediction fromin situspectroscopic ellipsometry data for atomic layer deposition processes

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Machine learning approach to thickness prediction fromin situspectroscopic ellipsometry data for atomic layer deposition processes is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning approach to thickness prediction from<i>in situ</i>spectroscopic ellipsometry data for atomic layer deposition processes. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-approach-to-thickness-prediction-from-i-in-situ-i-spectroscopic-ellipsometry-data-for-atomic-layer-depo
MLA “Machine learning approach to thickness prediction from<i>in situ</i>spectroscopic ellipsometry data for atomic layer deposition processes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-approach-to-thickness-prediction-from-i-in-situ-i-spectroscopic-ellipsometry-data-for-atomic-layer-depo.
BibTeX @misc{4ortxyz_machine-learning-approach-to-thickness-prediction-from-i-in-situ-i-spectroscopic-ellipsometry-data-for-atomic-layer-depo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning approach to thickness prediction from<i>in situ</i>spectroscopic ellipsometry data for atomic layer deposition processes}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-approach-to-thickness-prediction-from-i-in-situ-i-spectroscopic-ellipsometry-data-for-atomic-layer-depo}, note = {Accessed: 2026-05-24}}
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