Mask Article Testing via Electrical Bias and Current Distribution
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Solution Overview
Problem
Conventional defect detection systems in semiconductor photolithography fail to meet the precision requirements for detecting nano-scale defects in mask blanks due to the continuous progression of smaller pattern designs, leading to inefficiencies in production yields.
Innovation Solution
A method involving the application of an electrical bias across a mask article and measuring the corresponding current distribution using an electrical sensor to determine the quality of the mask, which includes electrically connecting the mask to a sensor, applying a bias voltage to testing sites, and measuring current distributions to assess the mask's quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional defect detection systems are used, then the inspection process is simple, but the measurement precision is insufficient for nano-scale defects
Solution Approach 1:
The patent replaces conventional optical/mechanical defect detection systems with an electrical measurement system. By applying bias voltage and measuring current distribution across the mask blank, the system detects nano-scale defects through electrical properties rather than optical imaging, achieving higher precision for sub-10nm defects while maintaining manageable system complexity
Solution Approach 2:
The patent changes the detection parameter from optical properties (reflectivity, scattering) to electrical properties (current distribution, conductivity). This parameter transformation enables detection of nano-scale defects that are below the resolution limit of conventional optical systems, directly improving measurement precision for advanced node masks
2Measurement precision
If high resolution microscopy is used for defect inspection, then the measurement precision improves, but the productivity decreases due to time-consuming manual analysis
Solution Approach 1:
The electrical measurement system automatically generates defect maps through current distribution measurements without requiring manual inspection. The system self-evaluates mask quality by comparing measured current patterns against expected distributions, eliminating the need for skilled inspectors and significantly improving productivity while maintaining high precision
Solution Approach 2:
The patent replaces manual visual inspection with automated electrical measurement and analysis. The systematic approach of applying bias voltage and measuring current at multiple points enables rapid, objective defect detection that is both more precise than manual inspection and significantly faster, resolving the productivity-precision trade-off
3Reliability
If conventional inspection methods are used, then the device complexity is low, but the reliability of defect detection is insufficient for critical nano-scale defects
Solution Approach 1:
The patent replaces unreliable conventional optical inspection with electrical measurement that directly probes the mask blank's conductive properties. This substitution provides more reliable defect detection for nano-scale features because electrical measurements are not limited by optical diffraction and can detect sub-10nm defects that optical methods miss, thereby improving detection reliability
Solution Approach 2:
The patent introduces an electrical measurement intermediary (current distribution measurement under bias voltage) between the mask blank and the defect detection process. This intermediary provides a more sensitive and reliable indication of nano-scale defects than direct optical inspection, improving reliability while keeping the overall system complexity manageable through standardized electrical measurement techniques
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 method effectively identifies defects by analyzing current distributions, improving defect detection precision and addressing the inefficiencies of existing systems, enabling more accurate determination of mask quality and potential defects.
Implementation Method 1
applying an electrical bias across the mask article and measuring the corresponding current distribution of the mask article
Data Source
AI summary
A method for testing a mask article includes steps of electrically connecting the mask article to an electrical sensor, applying a bias voltage to a plurality of testing sites of the mask article with a conductor, measuring at least one current distribution of the testing sites with the electrical sensor, and determining the quality of the mask article by taking the at least one current distribution into consideration.