Auto Device Skew Manufacturing Offset Adjustment
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Solution Overview
Problem
At semiconductor manufacturing nodes smaller than 65 nm, single-stage process sensitivity is not effective, leading to unintended consequences due to interactions among process variables, and human error in manual decision-making results in costly and time-consuming corrections, delaying device production.
Innovation Solution
A system and method that automatically determines an initial recipe and applies an offset to it, using a main recipe algorithm and historical data to generate a device-tuned recipe for semiconductor manufacturing, thereby controlling the semiconductor manufacturing process tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual decision-making is used to select process recipes, then human operators can make decisions based on experience, but human error occurs and leads to costly and time-consuming corrections
Solution Approach 1:
The system enables self-service automation where the manufacturing system automatically selects and adjusts recipes based on device parameters and historical data, eliminating human operators from the decision-making process. This prevents human error while maintaining operational continuity, as the system self-corrects and self-optimizes without requiring manual intervention or time-consuming error analysis.
Solution Approach 2:
The patent replaces the mechanical human decision-making process with an automated computational system that uses algorithms to analyze device parameters, access historical manufacturing data, and select optimal recipes. This substitution eliminates human error inherent in manual operations while significantly reducing the time required for recipe selection and error correction through rapid automated processing.
2Ease of manufacture
If single-stage process control is used at nodes greater than 65 nm, then manufacturing can be controlled through a single critical dimension, but this approach becomes ineffective at smaller nodes where process variables interact
Solution Approach 1:
The system dynamically adjusts multiple process parameters simultaneously based on device-specific requirements and historical performance data. Instead of relying on a single critical dimension, the automated system modifies multiple recipe parameters in coordination, allowing precise control of manufacturing processes at small nodes where variables interact complexly, while maintaining systematic manageability.
Solution Approach 2:
The patent implements a dynamic recipe selection system that adapts process parameters based on real-time device parameters and historical manufacturing outcomes. This dynamic approach allows the system to respond to complex interactions between process variables at small nodes, adjusting multiple parameters in concert rather than relying on static single-parameter control, thereby maintaining both precision and ease of manufacture.
3Manufacturing precision
If automated recipe selection with offset adjustment is implemented, then manufacturing precision and success rate increase, but system complexity increases
Solution Approach 1:
The patent introduces an automated offset calculation system that acts as an intermediary between historical manufacturing data and current recipe selection. This intermediary component processes and analyzes historical data to determine appropriate offsets, which are then applied to base recipes. This intermediary layer simplifies the overall system by encapsulating the complexity of data analysis and offset determination in a dedicated module, making the system more manageable while maintaining high manufacturing precision.
Solution Approach 2:
The system performs preliminary analysis of historical manufacturing data and device parameters before actual manufacturing begins. By pre-calculating offsets and selecting optimal recipes in advance, the system reduces the complexity of real-time decision-making during manufacturing. This preliminary action allows the system to handle complex data processing and algorithmic analysis beforehand, simplifying the actual manufacturing process while maintaining high precision.
Data Source
AI summary
A system and method for manufacturing semiconductor devices is disclosed. An embodiment comprises using desired device parameters to choose an initial manufacturing recipe. Once chosen, the initial manufacturing recipe may be modified by determining and applying an offset adjustment based on previous manufacturing to tune the recipes for the particular equipment to be utilized in the manufacturing process.