Two-Dimensional Image Analysis for Lithographic Defect Control

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Solution Overview

Problem

In semiconductor fabrication, high-resolution lithographic processes face challenges in controlling critical dimensions and pattern defects due to variations in processing conditions, leading to inconsistencies in device performance, particularly with the transfer of submicron defects from photomasks to wafers.

Innovation Solution

The implementation of a two-dimensional image analysis system using a scanning electron microscope (SEM) within an advanced process control framework, which provides enhanced resolution by analyzing circuit feature dimensions and placement, and communicates with an image analysis engine to extract data for feedback and feed-forward control, minimizing errors in the lithographic patterning process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional image analysis techniques are used for lithographic process control, then the system complexity is lower, but the measurement precision and manufacturing precision are insufficient for submicron defect detection

Engineering Contradiction:

Improvedefect detection precisionVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent transitions from conventional one-dimensional or simple two-dimensional image analysis to advanced two-dimensional image analysis with enhanced processing capabilities. This dimensional enhancement in data analysis allows for superior defect detection precision while managing system complexity through sophisticated algorithms that process spatial relationships in the captured images.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The system introduces an advanced process control framework that acts as an intermediary between the lithographic process and the measurement system. This framework integrates two-dimensional image analysis with process control algorithms, enabling precise defect detection while abstracting the complexity from direct observation to computational analysis.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Manufacturing precision

If advanced two-dimensional image analysis is implemented, then the manufacturing precision and defect detection improve, but the device complexity increases

Engineering Contradiction:

Improvepatterning precisionVSAvoidcontrol system complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent implements a feedback mechanism where two-dimensional image analysis results are fed back into the lithographic process control system. This feedback loop enables continuous adjustment and optimization of patterning parameters, achieving superior manufacturing precision while managing complexity through iterative control rather than overly complex upfront system design.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system replaces complex mechanical measurement and adjustment mechanisms with computational two-dimensional image analysis. By substituting physical complexity with computational processing, the system achieves high manufacturing precision through software-based analysis rather than hardware complexity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If conventional defect detection methods are used, then the ease of operation is higher, but the reliability of process control is insufficient

Engineering Contradiction:

Improveprocess control reliabilityVSAvoidsystem operation simplicity

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The advanced two-dimensional image analysis system performs self-calibration and self-optimization through automated algorithms. The system automatically adjusts analysis parameters and control settings based on captured images, achieving high process control reliability without requiring complex manual operation or intervention.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system dynamically changes analysis and control parameters based on real-time image data and process conditions. By automatically adjusting parameters such as threshold values, analysis regions, and control setpoints, the system maintains high reliability while keeping operation simple through adaptive rather than static parameter management.

Inventive Principle:

Principle #35Parameter changes

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 enables precise control of the lithographic patterning process, reducing defects and variations by accurately comparing measured data with projected values, thereby optimizing semiconductor patterning and improving device performance.

Implementation Method 1

A scanning electron microscope (SEM) component is provided within a semiconductor patterning process

Methodology Applied

Scientific EffectElectron Beam: Electron Beam

Data Source

PatentUS7875851B1Advanced process control framework using two-dimensional image analysis

Publication Date: 2011.01.25 ADVANCED MICRO DEVICES INC

AI summary

The claimed subject matter provides a system and/or a method that facilitates utilizing a resolution enhancement for a circuit feature. A scanning electron microscope component (104, 204, 304, 404) can provide at least one two-dimensional image of the circuit feature. An image analysis engine (106, 206, 306, 406) can analyze the two-dimensional image. An advanced process control (APC) engine (108, 208, 308, 408) can generate at least one instruction for at least one of a feed forward control and a feedback control and a process component (102, 202, 302, 402) can utilize the at least one instruction to minimize an error.