Semiconductor Measurement System for Layer Thickness Control
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Solution Overview
Problem
There is a growing need for reliable methods and systems to measure fine patterns in semiconductor devices as they are scaled down, as existing technologies struggle to accurately determine parameters such as layer thickness and pattern formation during semiconductor manufacturing processes.
Innovation Solution
A method involving a semiconductor measurement system that includes a sensing chamber and a processing chamber, where a semiconductor substrate is measured before and after processing, with spectral analysis used to determine the difference in parameters, ensuring alignment and accuracy through a beam splitter and collimator system, and additional fabrication processes are performed based on these measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If semiconductor devices are scaled down to achieve smaller size and lower costs, then productivity and cost-effectiveness are improved, but measurement precision deteriorates due to difficulty in reliably measuring parameters of fine patterns
Solution Approach 1:
The measurement process is segmented into multiple stages: pre-processing measurement, post-processing measurement, and difference analysis. This segmentation allows each measurement to focus on specific parameters at critical points in the fabrication process, improving overall measurement reliability for scaled-down devices
Solution Approach 2:
A pre-processing measurement is performed before the actual fabrication process to establish baseline parameters. This preliminary action enables comparison with post-processing measurements to detect changes and ensure quality control throughout the fabrication sequence
2Reliability
If multiple measurements are performed before and after processing to determine parameter satisfaction, then measurement reliability is improved, but loss of time increases due to additional measurement steps
Solution Approach 1:
The measurement process is integrated continuously into the fabrication workflow rather than being performed as separate batch operations. Measurements are taken at key transition points (before and after processing) to maintain continuous monitoring of parameter changes without interrupting the overall fabrication flow
Solution Approach 2:
The system uses feedback from comparing pre-processing and post-processing measurements to determine parameter satisfaction. This feedback mechanism enables real-time quality control decisions, allowing the process to proceed or be adjusted based on measured parameter changes, thereby reducing unnecessary rework and time loss
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the reliability of measurement and fabrication processes by accurately determining parameter satisfaction, allowing for precise control over layer and pattern formation, thereby improving the quality and consistency of semiconductor devices.
Implementation Method 1
each of the first measurement and second measurement includes performing a spectral analysis of light reflected by the substrate
Implementation Method 2
The measuring unit may include a beam splitter and a collimator having an elliptical shape
Data Source
AI summary
A method includes loading a substrate into a sensing chamber; while the substrate is in the sensing chamber, performing a spectral analysis of the substrate; transferring the substrate between the sensing chamber and a processing chamber coupled to the sensing chamber; processing the substrate in the processing chamber to form at least a first layer and/or pattern on the substrate; and based on at least the spectral analysis, determining whether a parameter resulting from the formation of first layer and/or pattern is satisfied.