Multi-Layer Defect Prediction in Semiconductor Substrates
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Solution Overview
Problem
Current defect detection systems in photolithography only address defects on one layer of a semiconductor substrate, failing to identify and correct defects that may migrate to multiple layers, leading to issues like open or short circuits.
Innovation Solution
A method and system that analyze defects on one layer to predict the likelihood of defects migrating to critical areas on subsequent layers, determining the probability of open or short circuits and instructing manufacturing systems to take corrective actions to mitigate these risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If defect detection systems only monitor one layer, then device complexity is reduced and ease of operation is improved, but manufacturing precision and reliability deteriorate due to undetected multi-layer defects
Solution Approach 1:
The patent transitions from single-layer defect detection to multi-layer defect detection by adding the dimension of layer depth. The system now operates in three-dimensional space across multiple substrate layers, tracking defects from their origin layer through potential migration to subsequent layers, thereby improving manufacturing precision without proportionally increasing system complexity
Solution Approach 2:
The defect detection system is enhanced to perform multiple functions: detecting defects on the current layer, predicting migration to subsequent layers, and providing probabilistic yield impact assessment. This multi-functional approach allows a single system to address various aspects of multi-layer quality control, improving reliability while managing complexity through integrated functionality
2Reliability
If comprehensive multi-layer defect analysis is implemented, then reliability and manufacturing precision improve, but device complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary defect analysis by predicting the probability of defect migration to subsequent layers before actual manufacturing defects occur. By calculating migration probabilities in advance and identifying critical areas on future layers, the system enables proactive quality control, improving reliability while managing computational complexity through predictive rather than reactive analysis
Solution Approach 2:
The patent replaces comprehensive physical inspection of all layers with a computational model that calculates defect migration probabilities. Instead of mechanically examining each layer extensively, the system uses algorithms to predict yield impact based on defect characteristics and layer geometry, reducing physical system complexity while maintaining high reliability through mathematical modeling
Data Source
AI summary
A method and system for determining a defect in a critical area in a multi-layer semiconductor substrate is disclosed. A server receives information describing a defect on a first layer of the semiconductor substrate. The server identifies a critical area of a second layer below the first layer of the semiconductor substrate determines a probability of the defect migrating from the first layer to the critical area of the second layer. The server determines, based on the probability, the likelihood of an open or a short occurring as a result of the defect occurring in the critical area. The server provides, based on the likelihood, predictive information to a manufacturing system, wherein corrective action is taken based on the predictive information in order to reduce or eliminate the likelihood of the open or short.