Measurement Region Optimization for Small Metrology Targets

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Solution Overview

Problem

As metrology targets decrease in size, edge effects from light leakage distort intensity readings, affecting the accuracy and throughput of parameter inference in lithographic processes, particularly in determining measurement regions for small targets.

Innovation Solution

A method is developed to determine a measurement region by obtaining variation maps from metrology targets, defining a cost function that optimizes the measurement region based on signal variations and repeatability, using a computer program to refine the selection process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If metrology targets are reduced in size to fit among product features, then target positioning flexibility is improved, but edge effects from light leakage increase causing measurement distortion

Engineering Contradiction:
Improvetarget positioning flexibilityVSAvoidintensity reading accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent divides the target into multiple gratings (e.g., four gratings arranged in a square pattern) and the measurement spot is divided into multiple measurement regions, each associated with a specific grating. This segmentation allows the system to measure each grating separately and combine results, reducing the impact of edge effects on any single measurement while maintaining small overall target size.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent assigns different measurement regions to different gratings within the target, where each measurement region is optimized for its corresponding grating. This local optimization ensures that each grating is measured in a region where edge effects are minimized, thereby improving overall measurement accuracy while maintaining small target dimensions.

Inventive Principle:
Principle #3Local quality

2Reliability

If measurement region is enlarged to improve signal strength, then measurement repeatability is improved, but edge effects from light leakage increase distorting intensity readings

Engineering Contradiction:
Improvemeasurement repeatabilityVSAvoidintensity reading accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

Instead of using a single large measurement region that would include edge effects, the patent segments the measurement into multiple smaller regions, each dedicated to a specific grating. The sum of these regions provides sufficient signal strength while avoiding the distortion caused by including edge regions in a single large measurement area.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an optimization process that acts as an intermediary between measurement region size and edge effect mitigation. This optimization determines the appropriate measurement region size by evaluating multiple factors including signal strength, edge effects, and measurement repeatability, thereby finding the optimal balance point.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If optimization process is added to determine measurement region, then measurement accuracy is improved, but processing complexity increases

Engineering Contradiction:
Improvemeasurement region accuracyVSAvoidprocessing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent performs preliminary optimization of measurement regions during the target design and fabrication stage, storing the optimized measurement region parameters in a database. This preliminary action eliminates the need for complex real-time optimization during actual measurements, reducing processing complexity while maintaining measurement accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses pre-determined measurement region parameters that are copied from optimization results obtained during target design. These copied parameters are then applied consistently across multiple measurements, avoiding the need to perform complex optimization calculations for each individual measurement while maintaining high accuracy.

Inventive Principle:
Principle #26Copying

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

Improves the accuracy and efficiency of parameter inference by minimizing edge effects and optimizing the measurement region, enhancing the precision of lithographic process control.

Implementation Method 1

Diffraction-based overlay using dark-field detection of the diffraction orders enables overlay measurements on smaller targets

Methodology Applied
Scientific EffectDiffraction: Diffraction

Implementation Method 2

These devices direct a beam of radiation onto a target and measure one or more properties of the scattered radiation - e.g., intensity at a single angle of reflection as a function of wavelength

Methodology Applied
Scientific EffectReflection: Reflection

Data Source

PatentEP4700476A2Method of determining a measurement region in images, apparatus and computer program
Publication Date: 2026.02.25 ASML NETHERLANDS BV
  • EP4700476A2 patent drawingFigure 1~2
  • EP4700476A2 patent drawingFigure 3~4
  • EP4700476A2 patent drawingFigure 5(a)~5(d)

AI summary

Disclosed is a method of determining a measurement region comprising: obtaining at least one variation map derived from signals of a plurality of metrology targets, the at least one variation map comprising a plurality of data points, indicating a variation of a component of the signals collected from a corresponding location of the plurality of metrology targets, the component of the signals not being indicative of a parameter of interest; defining a cost function for optimizing a measurement region in images of the plurality of metrology targets, comprising a first term relating to a variation of the data points whose corresponding locations of the metrology targets falling within a default measurement region of the at least one variation map, a second term relating to an impact of a size of the default measurement region on measurement repeatability; and using the cost function to determine the measurement region of the images.