Method for setting of semiconductor manufacturing parameter and computing device for executing the method
US-2022277189-A1 · Sep 1, 2022 · US
US12554246B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12554246-B2 |
| Application number | US-202318458896-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 30, 2023 |
| Priority date | Sep 15, 2022 |
| Publication date | Feb 17, 2026 |
| Grant date | Feb 17, 2026 |
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Determining a semiconductor device manufacturing parameter may include determining an EPM (electrical measurement parameters) group that has a correlation in a baseline EPM dataset including EPMs of a device manufactured under a baseline condition, deriving principal components (PCs) corresponding to main correlation axes between EPMs in the EPM group, deriving a PC-based dataset including a baseline PC dataset and a conditional split PC dataset by converting the baseline EPM dataset and a conditional split EPM dataset measured from devices manufactured under conditional splits into a PC domain, determining, using the PC-based dataset, respective PCs which are effectively changed by the conditional splits, obtaining split variation information of the conditional splits, extracting an optimal point capable of optimizing a figure of merit of a semiconductor device within a range of the PC-based dataset, and deriving information for process feedback for realizing the optimal point using the split variation information.
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What is claimed is: 1 . A method for performing semiconductor device manufacturing, the method comprising: determining an EPM (electrical measurement parameter) group having a correlation in a baseline EPM dataset, the baseline EPM dataset including a plurality of EPMs measured from a baseline semiconductor device manufactured under a baseline condition corresponding to a basic experimental condition for setting semiconductor device manufacturing parameters; deriving a plurali…
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