Adaptive chamber matching in advanced semiconductor process control
US10955832B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 6, 2020 |
| Grant date | Mar 23, 2021 |
| Priority date | — |
| Expiry date | Jul 6, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/02
- WIPO fieldSemiconductors
- WIPO sectorElectrical engineering
Abstract
Systems and methods for controlling device performance variability during manufacturing of a device on wafers are disclosed. The system includes a process platform, on-board metrology (OBM) tools, and a first server that stores a machine-learning based process control model. The first server combines virtual metrology (VM) data and OBM data to predict a spatial distribution of one or more dimensions of interest on a wafer. The system further comprises an in-line metrology tool, such as SEM, to measure the one or more dimensions of interest on a subset of wafers sampled from each lot. A second server having a machine-learning engine receives from the first server the predicted spatial distribution of the one or more dimensions of interest based on VM and OBM, and also receives SEM metrology data, and updates the process control model periodically (e.g., to account for chamber-to-chamber variability) using machine learning techniques.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.