Virtual Reflow Modeling for Semiconductor Fabrication
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Solution Overview
Problem
The increasing complexity of semiconductor fabrication processes, particularly with advanced technology nodes, has made conventional trial-and-error experimental methods costly and time-consuming, with challenges in accurately modeling reflow operations such as metal deposition, solder ball formation, and material surface smoothing within virtual fabrication environments.
Innovation Solution
A virtual fabrication environment is developed to perform reflow modeling by integrating a reflow modeling module that simulates metal or material reflow through voxel-based implicit geometry representation, allowing for the correction of errors and optimization of fabrication processes by modeling thermal energy application to refill voids, form solder balls, and smooth surfaces, using user-specified parameters and surface curvature calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional trial-and-error experimental methods are used to develop semiconductor fabrication processes, then process development can be performed with simple modeling approaches, but the cost and duration of development increase significantly
Solution Approach 1:
The patent applies preliminary action by performing virtual fabrication runs and reflow modeling before actual physical fabrication. The system simulates the entire fabrication process including deposition, etching, and reflow operations to predict outcomes and optimize parameters in advance, allowing process developers to identify potential issues and adjust parameters before committing to expensive and time-consuming physical fabrication runs.
Solution Approach 2:
The patent implements copying by creating a virtual replica of the physical fabrication environment through detailed 3D structural models. The system copies the physical fabrication process into a virtual domain where multiple scenarios can be tested without consuming physical materials or equipment time, enabling rapid iteration and optimization of fabrication processes.
2Manufacturing precision
If detailed 3D structural modeling is performed to accurately predict fabrication outcomes, then manufacturing precision improves, but computational complexity and processing time increase
Solution Approach 1:
The patent applies segmentation by breaking down the complex fabrication process into discrete, manageable steps including deposition, etching, and reflow operations. Each step is modeled separately with appropriate physical models and parameters, allowing the system to maintain high accuracy while managing computational complexity through modular processing of individual process steps rather than attempting to model the entire process as a single complex operation.
Solution Approach 2:
The patent utilizes parameter changes by allowing dynamic adjustment of process parameters such as deposition rates, etch selectivity, and reflow temperatures within the virtual modeling environment. The system accepts user-specified parameters for each process step and adjusts material properties, geometric features, and process conditions to accurately represent real-world variations, enabling precise prediction of fabrication outcomes through controlled parameter variation.
3Manufacturing precision
If reflow modeling is performed to correct deposition errors and form desired structures, then manufacturing precision improves, but computational resources and processing time increase
Solution Approach 1:
The patent applies phase transitions by modeling the reflow process where deposited material transitions from a solid deposited state to a liquid-like reflow state under thermal energy, and then back to a solidified state forming the desired structure. The system simulates the thermal energy application and material flow during reflow to predict how materials will redistribute and form final structures, enabling accurate prediction of reflow outcomes without requiring exhaustive computational resources through efficient phase transition modeling.
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 faster and more cost-effective semiconductor device development by predicting the outcomes of physical fabrication processes, reducing experimental errors and improving process efficiency through behavioral simulation of reflow operations within the virtual environment.
Implementation Method 1
modeling thermal energy application to refill voids, form solder balls, and smooth surfaces
Implementation Method 2
simulates metal or material reflow through voxel-based implicit geometry representation, allowing for the correction of errors and optimization of fabrication processes by modeling thermal energy application to refill voids
Implementation Method 3
using user-specified parameters and surface curvature calculations
Data Source
AI summary
Systems and methods for performing reflow modeling in a virtual fabrication environment are discussed. More particularly, the virtual fabrication environment may determine metal or material “reflow” or movement during fabrication of a semiconductor device structure. A reflow modeling step with user-specified parameters may be inserted into a process sequence used during fabrication of the semiconductor device structure.