Semiconductor Lower Electrode Misalignment Correction via Cantilever Beam Analysis
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Solution Overview
Problem
As semiconductor devices integrate more densely, the increased aspect ratio of cylindrical lower electrodes leads to leaning or breaking before dielectric material deposition, necessitating effective prediction and correction of misalignment in support structure patterns.
Innovation Solution
A pattern correction method involving data acquisition, deformation coefficient calculation using cantilever beam analysis, data classification, outlier removal, and training a pattern prediction model with Gaussian process regression to predict misalignment values and calculate correction values for support structure patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the aspect ratio of cylindrical lower electrodes is increased to maintain capacitance in high-density integration, then the integration density is improved, but the lower electrodes lean or break before dielectric material deposition
Solution Approach 1:
The patent applies preliminary action by calculating deformation coefficients using cantilever beam analysis before actual pattern formation. The system predicts misalignment values and determines correction values in advance, allowing support structure patterns to be pre-adjusted to compensate for expected lower electrode leaning, thereby preventing structural failure before it occurs
Solution Approach 2:
The patent segments the correction process into distinct components: acquiring full shot data, determining deformation coefficients through cantilever beam analysis, extracting coordinate data, classifying data, removing outliers, and training a pattern prediction model. This segmented approach allows each aspect of the correction process to be optimized independently while maintaining overall system reliability
2Ease of manufacture
If conventional methods are used to form support structure patterns without prediction and correction, then the manufacturing process is simple, but misalignment occurs in lower electrode patterns
Solution Approach 1:
The patent implements feedback by using trained pattern prediction models to predict misalignment values based on full shot data and deformation coefficients. The system continuously refines correction values based on predicted misalignment, creating a closed-loop feedback mechanism that automatically adjusts support structure patterns to achieve precise alignment without manual intervention
Solution Approach 2:
The patent applies parameter changes by modifying support structure pattern parameters based on calculated correction values. The system changes geometric parameters of support structures according to predicted misalignment values, transforming the patterns to compensate for expected deviations and achieve precise alignment in the final product
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 accurately predicts and corrects misalignment in lower electrode patterns, enhancing the stability and reliability of semiconductor devices by precisely forming support structure patterns.
Implementation Method 1
determining a deformation coefficient of the full shot data based on a cantilever beam analysis with respect to the full shot data
Data Source
AI summary
A pattern correction method includes acquiring, from a database, full shot data including full shot data coordinates and a misalignment value, calculating a deformation coefficient of the full shot data based on a cantilever beam analysis method with respect to the full shot data, extracting first-coordinate data along a first axis in a bit line direction and second-coordinate data along a second axis in a word line direction based on the full shot data, classifying the full shot data based on the first-coordinate data and the second-coordinate data, removing outliers from the full shot data.