Line Edge Roughness Measurement Pre-layer Separation

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Solution Overview

Problem

Existing methods for measuring line-edge-roughness (LER) and line-width-roughness (LWR) in semiconductor fabrication are hindered by the presence of pre-layers, which complicate and distort these measurements, leading to inaccurate estimates of line quality and reliability.

Innovation Solution

A method involving scanning line substructures using a critical dimension scanning electron microscope (CD-SEM) to collect data, sectioning it according to sub-regions with different pre-layers, and computing LER/LWR measures such as RMS, HHCF, and PSD, allowing for pre-layer-dependent analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional LER/LWR measurement methods are used, then measurement process is simple, but measurement precision deteriorates due to pre-layer interference

Engineering Contradiction:
ImproveLER/LWR measurement accuracyVSAvoidmeasurement process complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The measurement method segments the line image into multiple sections corresponding to different pre-layer regions. Each section is analyzed separately to determine LER/LWR characteristics specific to that pre-layer type, then results are combined to provide an overall measurement that accounts for pre-layer effects without requiring complex additional equipment.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by recognizing that different pre-layer regions have different effects on LER/LWR measurements. Instead of treating the entire line uniformly, the method identifies and analyzes each pre-layer region's specific impact, allowing for localized correction and more accurate overall measurement.

Inventive Principle:
Principle #3Local quality

2Adaptability or versatility

If pre-layers are present in the structure, then device functionality is enhanced, but measurement precision of LER/LWR deteriorates

Engineering Contradiction:
Improvedevice structure flexibilityVSAvoidLER/LWR measurement accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The method performs preliminary identification and classification of pre-layer regions before conducting LER/LWR measurements. By detecting and mapping pre-layer locations in advance, the measurement process can account for their effects systematically, maintaining accuracy despite the presence of multiple pre-layer types.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent changes the measurement parameters and analysis approach based on the detected pre-layer characteristics. Different measurement parameters or correction factors are applied depending on the type and location of pre-layers, allowing accurate LER/LWR determination across diverse device structures.

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 accurate measurement of LER/LWR by accounting for the effects of pre-layers, providing reliable estimates of line quality and improving yield prediction in semiconductor production.

Implementation Method 1

The scanning may comprise receiving image pixels according to the line substructure. In some embodiments, the scanning can be performed using a critical dimension scanning electron microscope (CD-SEM).

Methodology Applied
Scientific EffectElectron Beam: Electron Beam

Data Source

PatentUS9236219B2Measurement of line-edge-roughness and line-width-roughness on pre-layered structures
Publication Date: 2016.01.12 MACRONIX INTERNATIONAL CO LTD
  • US9236219B2 patent drawing
  • US9236219B2 patent drawing
  • US9236219B2 patent drawing

AI summary

Measurements of line roughness are separated into groups depending upon pre-layers. Image data collected from similar pre-layer types are considered together in order to separate effects of line roughness from distortion of measurements caused by the pre-layers. The resulting line roughness measurements are used to estimate an aspect of line quality.