Nanoimprint Drop Pattern Transformation for Substrate Height Control
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Solution Overview
Problem
Existing nano-fabrication techniques face challenges in achieving larger production yields with increased circuits per unit area while maintaining control over feature dimensions and addressing substrate height variations for improved planarization in semiconductor devices.
Innovation Solution
A method and system for generating drop patterns in nanoimprint lithography that involves capturing substrate images to determine feature pattern edges, offsets, and angles, and applying transformations to generate optimized drop patterns for precise material deposition, accounting for substrate variations and angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional lithography techniques are used to increase circuits per unit area, then production yield improves, but manufacturing precision of feature dimensions deteriorates
Solution Approach 1:
The patent segments the lithography process into multiple steps: initial patterning, planarization, and final patterning. This allows each step to be optimized independently, maintaining feature dimension precision while increasing overall productivity through parallel processing and reduced rework.
Solution Approach 2:
The patent performs preliminary planarization and alignment measurements before the final patterning step. By pre-positioning the substrate and correcting surface variations in advance, the system ensures that subsequent lithography operations achieve high precision without requiring multiple retry cycles, thus improving both yield and dimension control.
2Productivity
If substrate layers are repeatedly added to increase circuit density, then circuits per unit area improve, but substrate flatness deteriorates
Solution Approach 1:
The system performs preliminary measurements of substrate height variations using optical or contactless profilometry before material deposition. Based on these measurements, it calculates and applies compensatory drop patterns that pre-correct for anticipated flatness deterioration, allowing multiple layers to be added while maintaining substrate flatness within tolerance limits.
Solution Approach 2:
The patent applies localized planarization by dispensing polymerizable material with spatially varying volumes based on measured substrate topography. Areas with greater height variations receive different drop volumes or frequencies, creating locally optimized compensation that maintains overall substrate flatness while supporting increased circuit density.
3Manufacturing precision
If variable drop patterns are used to compensate for substrate height variations, then planarization quality improves, but device complexity increases
Solution Approach 1:
The patent generates variable drop patterns by dynamically adjusting dispensing parameters (volume, frequency, position) based on real-time substrate measurements. The system transforms measured height variation data into corrected drop patterns using computational algorithms, allowing high-quality planarization through parameter optimization rather than hardware complexity.
Solution Approach 2:
The system replaces complex mechanical planarization mechanisms (such as physical polishing or multiple alignment stages) with a computational approach using inkjet dispensing. By using software-based drop pattern generation and optimization, the system achieves high planarization quality while reducing mechanical complexity and improving throughput.
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
Enhances production yields by improving planarization and feature control, allowing for consistent and efficient fabrication of semiconductor devices with reduced defects and improved throughput.
Implementation Method 1
obtain one or more images of a substrate, wherein the substrate includes a feature pattern
Implementation Method 2
the material is polymerized on the substrate, and the superstrate removed
Data Source
AI summary
Some devices, systems, and methods obtain one or more images of a substrate, wherein the substrate includes a feature pattern; determine one or more edges of the feature pattern based on the one or more images; determine an offset of the feature pattern relative to the substrate and an angle of the feature pattern relative to the substrate based on the one or more edges of the feature pattern; and generate a transformation for a drop pattern based on the offset of the feature pattern and on the angle of the feature pattern.