Wafer Logic Region Defect Detection via Super-Region Merging

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current defect detection methods in semiconductor manufacturing face challenges with high numbers of design-based care areas, leading to impractical throughput and cost issues due to increased sensitivity regions, which can result in lower performance and more noise in inspection processes.

Innovation Solution

The system organizes sub-regions into super-regions for defect detection, using a computer subsystem to assign and generate scatter plots with different segmentation values for each type of sub-region, allowing for efficient defect detection across a logic region on a wafer.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the number of design-based care areas is increased to improve defect detection sensitivity, then measurement precision is improved, but productivity deteriorates due to impractical throughput and cost issues

Engineering Contradiction:
Improvedefect detection sensitivityVSAvoidinspection throughput
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent combines multiple sub-regions into a single super-region, allowing multiple sensitivity regions to be processed together in one inspection pass. This merging approach maintains the sensitivity benefits of multiple care areas while improving throughput by reducing the number of separate processing operations required.

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If the number of design-based care areas is increased to improve defect detection sensitivity, then measurement precision is improved, but device complexity worsens due to increased processing complexity

Engineering Contradiction:
Improvedefect detection sensitivityVSAvoidprocessing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent merges multiple sub-regions into a super-region, reducing the overall processing complexity. By handling multiple sensitivity regions within a single super-region framework, the system simplifies the processing architecture while preserving the ability to detect defects with high sensitivity across multiple areas.

Inventive Principle:
Principle #5Merging (Combining)

3Measurement precision

If design-based care areas are reduced in size to increase inspection frequency across the wafer, then measurement precision is improved, but productivity worsens due to impractical throughput requirements

Engineering Contradiction:
Improveinspection sensitivityVSAvoidinspection throughput
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent combines multiple smaller sub-regions into a super-region, enabling the system to process fine-grained sensitivity regions without the throughput penalty of processing each separately. This allows high inspection sensitivity across the wafer while maintaining practical processing speeds by batch-processing multiple regions together.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS10923317B2Detecting defects in a logic region on a wafer
Publication Date: 2021.02.16 KLA CORP
  • US10923317B2 patent drawing
  • US10923317B2 patent drawing
  • US10923317B2 patent drawing

AI summary

Methods and systems for detecting defects in a logic region on a wafer are provided. One method includes acquiring information for different types of design-based care areas in a logic region of a wafer. The method also includes designating the different types of the design-based care areas as different types of sub-regions and, for a localized area within the logic region, assigning two or more instances of the sub-regions located in the localized area to a super-region. In addition, the method includes generating one scatter plot for all of the two or more instances of the sub-regions assigned to the super-region. The one scatter plot is generated with different segmentation values for the output corresponding to the different types of the sub-regions. The method further includes detecting defects in the sub-regions based on the one scatter plot.