Physics-Aware Model Reduction for 3D Electromagnetic Simulations
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Solution Overview
Problem
Current three-dimensional electronic design modeling and simulation methods, such as 3D solvers and hybrid approaches, face high computational resource consumption and inefficiency due to unnecessary geometry simplification and mesh refinement, which can overlook the significance of components in electromagnetic field analyses.
Innovation Solution
Implementing a physics-aware model reduction method that identifies and simplifies design models based on the importance of components, partitioning regions according to spatial distributions of physical or electrical characteristics, and adjusting discretization schemes to reduce computational resources while maintaining accuracy in critical areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional geometry simplification techniques are applied to 3D design models, then computational resource consumption is reduced, but accuracy of electromagnetic field analysis deteriorates due to simplification of important components
Solution Approach 1:
The patent applies different levels of geometry simplification to different regions of the 3D design model based on their importance to electromagnetic field analysis. Critical components retain their original geometric detail while less important regions are simplified, thereby maintaining analysis accuracy for key areas while reducing overall computational burden.
Solution Approach 2:
The design model is divided into multiple regions with different importance levels. The patent segments the geometry into critical components that require detailed modeling and non-critical regions that can be simplified, allowing selective application of mesh refinement and simplification techniques to resolve the contradiction between accuracy and computational efficiency.
2Measurement precision
If adaptive mesh refinement is applied based on local precision requirements, then solution accuracy is improved, but computational cost increases due to refinement of all regions regardless of component importance
Solution Approach 1:
The patent implements adaptive mesh refinement selectively in regions containing important components rather than uniformly across the entire model. By identifying which regions contribute most to electromagnetic field analysis accuracy, the system refines meshes only where necessary, maintaining high solution accuracy while significantly reducing the number of total mesh elements and associated computational cost.
3Measurement precision
If 3D solvers are used to model all structures in 3D space, then electromagnetic field analysis accuracy is improved, but memory footprint and runtime become prohibitively expensive
Solution Approach 1:
The patent extracts and removes non-essential geometric details from the 3D design model while preserving the electromagnetic field analysis accuracy for critical components. By taking out unnecessary geometric complexity from less important regions, the model size and memory footprint are reduced while maintaining the essential physics and accuracy requirements for key structures.
Data Source
AI summary
Disclosed are techniques for implementing physics aware model reduction for a design. These techniques identify a design model and generate a first set of solutions with a first discretization scheme and a plurality of inputs. A second discretization scheme may be generated at least by performing geometry simplification and re-discretization based in part or in whole on one or more distributions from the first set of solution. With the second discretization scheme, a second set of solutions may be generated with the second discretization scheme and the plurality of inputs.