Semiconductor Inspection Wavelength Selection for SiN Layers

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Solution Overview

Problem

Current semiconductor wafer inspection systems face challenges in detecting defects due to the presence of absorber materials like SiN, which can obscure defect signals and introduce noise, especially as semiconductor devices become increasingly sensitive and smaller.

Innovation Solution

Selecting specific wavelength ranges based on the presence or absence of absorber materials like SiN within or near the layers of interest, using shorter wavelengths when SiN is not present to enhance signal strength and reduce noise, and longer wavelengths when SiN is present to maximize signal-to-noise ratio, along with adjustable polarization and aperture settings to optimize defect detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If shorter wavelength ranges are used for inspection, then defect detection sensitivity is improved, but noise interference increases when absorber materials like SiN are present

Engineering Contradiction:
Improvedefect detection sensitivityVSAvoidnoise interference
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The inspection system dynamically changes the wavelength parameter of the inspection light based on the presence or absence of absorber materials in the semiconductor layers. When absorber materials are detected, the system switches to longer wavelengths to reduce noise interference while maintaining defect detection capability. This parameter adaptation resolves the contradiction by optimizing the wavelength for each specific inspection condition.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system employs dynamic wavelength selection that adapts in real-time based on the layer composition being inspected. The inspection tool automatically adjusts between shorter and longer wavelength ranges depending on whether absorber materials are present, making the inspection process flexible and condition-dependent rather than static.

Inventive Principle:
Principle #15Dynamics

2Reliability

If longer wavelength ranges are used when SiN is present, then signal-to-noise ratio is improved, but defect detection sensitivity decreases

Engineering Contradiction:
Improvesignal-to-noise ratioVSAvoiddefect detection sensitivity
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The system changes the wavelength parameter based on the specific inspection conditions. When SiN absorber materials are present, longer wavelengths are selected to improve signal-to-noise ratio. When SiN is absent, shorter wavelengths are used to maximize defect detection sensitivity. This conditional parameter change resolves the contradiction by matching the wavelength to the material properties being inspected.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

Different wavelength ranges are applied to different layers or regions depending on their material composition. The system inspects layers with and without absorber materials using optimally suited wavelengths, making the inspection quality locally adapted to each layer's characteristics rather than using a uniform approach.

Inventive Principle:
Principle #3Local quality

3Device complexity

If fixed wavelength inspection is used, then system complexity is reduced, but adaptability to different layer compositions decreases

Engineering Contradiction:
Improveinspection system complexityVSAvoidadaptability to layer composition
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The inspection system incorporates dynamic wavelength selection capability that automatically adapts to different layer compositions. The system can switch between shorter and longer wavelength ranges based on the presence of absorber materials, providing versatility without requiring multiple separate inspection systems.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The inspection tool is designed with multi-functional wavelength selection, allowing a single system to handle both layers with and without absorber materials effectively. By integrating the ability to operate at multiple wavelength ranges, the system achieves universal applicability across different semiconductor layer compositions.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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 improves defect detection sensitivity and reduces noise interference, enabling more accurate inspection of semiconductor wafers by tailoring the inspection process to the material properties of each layer, thereby enhancing the signal-to-noise ratio and improving defect characterization.

Implementation Method 1

selecting a longer wavelength range that is above the absorption edge wavelength for a second one of the different layers of interest that has SiN present above such second layer of interest

Methodology Applied
Scientific EffectAbsorption (EM radiation): Absorption (EM radiation)

Data Source

PatentUS10126251B2Inspection systems and techniques with enhanced detection
Publication Date: 2018.11.13 KLA CORP
  • US10126251B2 patent drawing
  • US10126251B2 patent drawing
  • US10126251B2 patent drawing

AI summary

Disclosed are methods and apparatus for inspecting semiconductor samples. On an inspection tool, a plurality of different wavelength ranges is selected for different layers of interest of one or more semiconductor samples based on whether such different layers of interest have an absorber type material present within or near such different layers of interest. On the inspection tool, at least one incident beam is directed at the different wavelength ranges towards the different layers of interest and, in response, output signals or images are obtained for each of the different layers of interest. The output signals or images from each of the different layers of interest are analyzed to detect defects in such different layers of interest.