Adaptive Filter Optimization for Electromagnetic Device Design
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Solution Overview
Problem
Conventional design techniques for electromagnetic devices are inefficient due to the large number of design parameters and the need for optimized device design as functionality increases and manufacturing tolerances improve, making it difficult to fully utilize advancements in device feature sizes.
Innovation Solution
A physics simulator utilizing first-principles simulations and adaptive filter techniques to optimize structural parameters of electromagnetic devices by reducing the number of simulation time steps and applying compact bookkeeping methods, allowing for concurrent forward and reverse simulations to accelerate design optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional guess and check design techniques are used, then design simplicity is maintained, but design optimization efficiency deteriorates due to the large number of design parameters
Solution Approach 1:
The patent replaces manual guess-and-check design methods with an automated adaptive filter algorithm that uses first-principles physics simulations. The system automatically adjusts design parameters through iterative optimization, substituting human intuition with computational algorithms that can efficiently navigate the high-dimensional parameter space of electromagnetic device design.
Solution Approach 2:
The patent systematically varies multiple design parameters simultaneously using an adaptive filter algorithm that adjusts parameters based on simulation feedback. This allows efficient exploration of the design space by making coordinated changes to multiple parameters rather than adjusting them individually through trial and error.
2Manufacturing precision
If full optimization of device design is pursued, then device functionality is improved, but simulation time and computational resources increase
Solution Approach 1:
The patent performs preliminary simulations to establish baseline performance and identify promising design regions before conducting full optimization. The adaptive filter algorithm uses initial simulation results to guide subsequent parameter adjustments, avoiding exhaustive search of the entire design space and reducing total simulation time required to achieve optimized designs.
3Productivity
If adaptive filter techniques are used to optimize device design, then design efficiency is improved, but computational complexity increases
Solution Approach 1:
The patent implements an adaptive filter algorithm that uses feedback from physics simulations to automatically adjust design parameters. The system continuously monitors simulation results and uses this feedback to guide parameter optimization, creating a closed-loop design process that converges efficiently toward optimal designs without requiring exhaustive computational search.
Data Source
AI summary
A technique for optimizing a physical device includes receiving an initial description of the physical device that describes the physical device with voxels that each describes one or more structural parameters of the physical device. The initial description includes a characterization including a desired output signal generated at an output region of the physical device in response to a source signal at a source region of the physical device. A field response is forward simulated from the source region to the output region to generate a forward simulated output signal. Structural parameter weights of the voxels are adjusted with an adaptive algorithm configured to reduce an error between the forward simulated output signal and the desired output signal. The structural parameters of the voxels are revised based upon the adjusting. The forward simulating, adjusting, and revising are iteratively repeated and a revised/optimized description of the physical device is generated.